Sobre a Platform Science:

Na Platform Science, trabalhamos para conectar tudo que se move. Fundada em 2015, somos uma plataforma de IoT aberta que faz parcerias com frotas inovadoras, desenvolvedores de aplicativos, fabricantes de veículos e fornecedores de equipamentos no setor de transporte para fornecer soluções revolucionárias aos profissionais da cadeia de suprimentos em todo o mundo.

Nossos colaboradores são um grupo envolvente e diversificado de pessoas que acreditam no poder das grandes ideias. Contratamos pessoas com diferentes experiências e perspectivas para construir uma cultura empresarial que impulsione o crescimento por meio da inovação.

Valorizamos ações atenciosas e empatia pelos outros.  Abordamos os desafios com resiliência e criatividade, ao mesmo tempo que incentivamos a transparência porque, não importa nossa origem ou responsabilidades, somos uma equipe.

O seu desafio por aqui:

Você fará parte de um time multidisciplinar (Software, Testes, Hardware e Produto) focado em pesquisa aplicada. Sua missão será:

• Transformar dados em impacto: criar modelos de IA e Machine Learning para otimizar operações reais e definir o futuro da mobilidade.
• Inovação contínua: explorar novas ferramentas de Code Assist e se manter na fronteira dos avanços tecnológicos.
• Colaboração Global: interagir com times da PS ao redor do mundo, trocando experiências e tecnologias.
• Agilidade na veia: atuar em um ambiente dinâmico, utilizando metodologias ágeis para entregas de alto valor.

O que buscamos:

• Domínio de Python: aplicado a Data Analytics, Data Engineering, Data Science ou AI Engineering.
• Visão de Dados: experiência com pipelines (AirFlow) e visualização (Domo ou Power BI).
• Cultura Cloud: experiência com nuvem (AWS, Azure ou GCP).
• Mentalidade de Engenharia: familiaridade com o ecossistema Linux, Containers e Terraform  (aqui nós construímos e colocamos pra rodar!).
• Diferencial: se você tem experiência com modelos para dispositivos móveis ou setor automotivo (Edge AI), as chances aumentam!

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

Role Overview

As the Smart Tasking Product Manager for ABI Markets, you will be driving the BDRs strategy behind our Smart-Tasking engine in all ABI Markets using BEES Force. You will manage the lifecycle of the markets adoption of the tool within BEES Force, ensuring that transactional and behavioral data from users and POCs are translated into actionable, high-value tasks. A critical part of your mission will be overseeing the Coins Expansion: a sophisticated rewards program that assigns value to tasks via complex data science models. You will ensure these models are properly configured and localized for diverse global markets while keeping stakeholders informed through world-class documentation and visibility tools.

Core Responsibilities

• System & Workflow Governance: Lead the Jira configuration and management for the SmartTasking pipeline across developments related to ABI Markets. You will ensure that every development, from conception to market deployment, is tracked with precision.
• Expansion: Drive the Coins Expansion initiative. This involves coordinating the roll-out of rewards models that assign value to tasks, requiring a deep understanding of how the business goals intersect with data science outputs.
• Data Visibility & Analytics: Define and lead the implementation of new dashboards, ad hoc analysis, and reporting structures. Using Databricks, SQL, you will transform raw project data into clear "visibilities" that show the health and impact of Smart Tasking across different regions.
• Market Localization & Spot Analysis: Perform "spot analysis" to identify bottlenecks or opportunities in specific markets, ensuring the Smart Tasking process is optimized for local behavioral nuances.
• Stakeholder Communication: Act as the primary bridge between the core team and BUs. You will be responsible for sharing improvements and maintaining a repository of structured, accessible documentation.

Requirements & Qualifications

• Technical Proficiency: Hands-on experience with Jira (administration/configuration), SQL, and Databricks. You should be comfortable querying data to validate project progress.
• Analytical Mindset: Ability to understand complex, data-driven products. While you aren't the data scientist, you must be able to explain how "Coins" and how the “Smart-Tasking” model work to a business partner.
• Documentation Excellence: A passion for clarity. You must be able to turn complex technical updates into structured, easy-to-digest documentation.
• Project Management Toolkit: Advanced skills in Project Management Tools for modeling and tracking, and a proven track record of managing cross-functional projects with multiple dependencies.

What a "Win" Looks Like (6 Months In)
Success in this role means you have successfully streamlined the communication loop. Your stakeholders no longer wonder "where the project stands" because your documentation is the "single source of truth." The Jira workflow is automated and efficient, and the "Coins" program has a clear, documented expansion path into new markets with full visibility on its performance.

More about the role

• Level: Manager
• Work model: On-site (São Paulo-SP)
• Hiring model: CLT

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

About us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

Data Science at Nubank

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. Data Scientists are responsible for translating business needs into models and other types of data-driven solutions.

As a Data Scientist, you’re expected to

• Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
• Investigate problems and discover insights through exploratory data analysis and other quantitative methods;
• Have great numerical and analytical literacy, including knowledge of statistics and linear algebra as needed;
• Work on multiple stages of the ML model lifecycle–from ideation to training and steady-state operation;
• Work across multiple types of models, algorithms and learning paradigms;
• Communicate technical points, decisions and tradeoffs to peers and stakeholders;
  
  

Our ideal candidate

• Has experience working with ML models in a production environment;
• Understands possible pitfalls and tradeoffs when applying ML to real-word, sometimes messy problems;
• Is familiar with the technical aspects of learning theory and algorithms and is able to discuss details if needed;
• Has experience working with the Python scientific stack (Numpy, Pandas, Scipy, Sklearn, Boosted Tree Libraries, etc);
• Has experience working with Tensor/Deep Learning libraries such as Tensorflow and Pytorch;
• Is able to connect analytical outcomes to business priorities and advise stakeholders on the best course of action;
• Has good communication skills and is able to convey technical topics and decision points to diverse audiences;
• Has experience writing general-purpose code using modern tools;
• Understands the implications of causality when applying ML to problems;
• Is up-to-date with recent developments in the area as a whole and is able to identify opportunities for improvement and innovation;
  
  

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
  
  

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

• Definir e liderar a estratégia de dados para todo o funil de receita (MKT, Sales, Parcerias e CS)
• Estruturar o modelo de dados unificado (single source of truth)
• Garantir consistência, qualidade e governança dos dados
• Evoluir a empresa de dashboards descritivos para análises preditivas e prescritivas

• Construir e escalar uma área de dados dentro de RevOps (BI, Analytics, Data Ops)
• Definir e acompanhar KPIs de performance de receita (pipeline, conversão, churn, LTV, CAC, etc.)
• Gerar insights acionáveis para liderança executiva (CRO, VP Sales, Marketing, CS)
• Liderar rotinas de dados e inteligência para forecast, pipeline reviews e performance analysis

• Liderar o roadmap de IA aplicado a Revenue (ex: scoring, priorização de leads, previsão de churn, recomendação de next best action)
• Identificar e implementar use cases de alto impacto com IA generativa e preditiva
• Atuar como ponte entre negócio e times técnicos (Data Science/ Engenharia/ Produto)
• Garantir adoção prática das soluções de IA (não só POCs)
• Reduzir esforço manual e aumentar produtividade dos times de GTM

• Definir padrões de governança de dados
• Promover cultura data-driven em toda a organização
• Capacitar stakeholders (treinamentos, playbooks, frameworks de decisão)

• Experiência liderando times multidisciplinares (BI, Analytics, Data Ops)
• Experiência em ambientes de alto crescimento (scale-up ou big tech)

Mentalidade de dono (ownership)
Essa pessoa não “entrega dashboard” — ela resolve problema de negócio.

Tradução negócio técnico
Consegue conversar com CRO e com Data Scientist no mesmo nível.

Influência sem autoridade
Vai precisar puxar adoção de IA em áreas que não se reportam a ela.

Pragmatismo orientado a impacto
Foco em soluções que geram resultado — não em complexidade técnica desnecessária.

Storytelling com dados
Capacidade de transformar análises em narrativas claras e acionáveis.

Change management

• Liderar transformação cultural (data-driven + AI-driven)
• Lidar com resistência à mudança (principalmente em Vendas)

• Experiência prévia implantando iniciativas de IA em escala
• Background em Data Science ou Engenharia de Dados
• Experiência em empresas SaaS B2B
• Vivência com frameworks de RevOps e GTM moderno
• Conhecimento em ferramentas de automação e no-code/low-code

• Aumento da previsibilidade de receita (forecast accuracy)
• Melhoria de eficiência do funil (conversão, ciclo de vendas)
• Redução de churn e aumento de expansão
• Adoção real de soluções de IA pelos times de GTM
• Redução de atividades manuais via automação
• Nível de maturidade data-driven da organização
  
  

  Vantagens e benefícios

  Sua Experiência no Dia a Dia
  • 🕘  Horário Flexível : Mais autonomia para organizar sua rotina com equilíbrio e responsabilidade.
  • 🏠  Modelos de Trabalho Flexíveis : Remoto, híbrido ou presencial, conforme a necessidade da função.
  • 👕  No Dress Code : Liberdade para ser quem você é, sem formalidades.
  • 🎉  Day Off de Aniversário : Um dia de folga no mês do seu aniversário para comemorar como quiser.
  • 🔋  Blip Recharge: São 5 dias de folga remunerados por ano, para cargos que não fazem registro de ponto, pensados ​​para equilibrar a jornada.

   Bem-estar e Qualidade de Vida

  • 🍽️  Vale Alimentação ou Refeição : R$ 1144,00 mensais, sem desconto e creditado inclusive nas férias e licenças.
  • 🚍  Vale Transporte : Disponível conforme necessidade de deslocamento.
  • 🏋️‍  Wellhub (Gympass) : Acesso a academias, apps de bem-estar e atividades físicas, também para dependentes.
  • 🎭  Convênio SESC : Acesso à cultura, lazer, esportes, hotéis, colônia de férias e mais.

   Saúde Física e Emocional

  • 🩺  Plano de Saúde (Sulamérica) : Cobertura nacional, quarto privativo para você e seus dependentes, com desconto apenas de coparticipação.
  • 🦷  Plano Odontológico : Cobertura nacional para você e seus dependentes, com três opções de planos, e desconto integral do valor do plano escolhido.
  • 🧠  Conexa Saúde : Plataforma de atendimento psicológico online.
  • 🔐  Seguro de Vida : Cobertura equivalente a 24 vezes o seu salário mensal.

   Família, Parentalidade e Apoio

  • 👶  Licença Maternidade Estendida : 180 dias para viver o início dessa nova fase com tranquilidade.
  • 👨‍👧   Licença Paternidade Estendida : 30 dias para estar presente e fortalecer vínculos.
  • 🧸  Auxílio Creche : Reembolso de R$ 676,81 para filhos de até 2 anos e R$ 592,21 para filhos de até 5 anos.
  • 🧩  Auxílio para Dependente PCD : Apoio de R$ 846,02 para filhos com deficiência ou neuro diversidade.

A pessoa nessa posição é responsável por garantir a coleta, processamento, armazenamento e disponibilidade de dados de alta qualidade para impulsionar modelos de IA e fornecer insights acionáveis para clientes e stakeholders.

Trata-se de um papel de liderança técnica, que combina a execução de projetos complexos de ciência de dados com a mentoria do time e a coordenação de esforços de Pesquisa e Desenvolvimento (P&D) para promover a inovação.

Esse propósito se traduz, na prática, nos seguintes Jobs to Be Done:

Liderar a estratégia e execução de Ciência de Dados

• Liderar equipes em projetos complexos, orientando e mentorando membros do time;
• Propor e implementar estratégias para melhorar processos e práticas internas de ciência de dados;
• Decidir quando um modelo está pronto para produção e definir como monitorá-lo.

Desenvolver modelos de IA de ponta a ponta

• Desenvolver modelos utilizando técnicas de IA (estatística, machine learning e deep learning), desde a coleta e tratamento até a engenharia de features;
• Implementar algoritmos de aprendizado supervisionado e não supervisionado, otimizando-os para performance e eficiência;
• Encapsular modelos em APIs robustas, fáceis de usar e bem documentadas.

Transformar grandes volumes de dados em valor

• Coletar, processar e analisar grandes volumes de dados estruturados e não estruturados para identificar padrões e tendências;
• Criar visualizações que elucidem as decisões tomadas e a qualidade dos modelos desenvolvidos.

Atuar como ponte entre tecnologia e negócio

• Facilitar a comunicação entre diferentes departamentos e alavancar o potencial de equipes multidisciplinares;
• Interface direta com clientes e parceiros para levantamento de requisitos técnicos, especificação de arquitetura de modelos e apresentação de resultados.

Sustentar a cultura de inovação da Kunumi

• Manter-se atualizado com as últimas tendências e avanços em ciência de dados e IA;
• Atuar de forma colaborativa e alinhada ao "jeito Kunumi": autonomia, responsabilidade compartilhada e diálogo aberto.

O que é esperado de você

• Liderança Técnica: Experiência sólida liderando projetos e equipes técnicas.
• Domínio de Programação: Proficiência em Python (preferencial), R, SQL e bibliotecas como TensorFlow, PyTorch e Scikit-Learn.
• Ambiente de Desenvolvimento: Experiência de desenvolvimento em ambiente Linux.
• Experiência Prática: Aplicação real de métodos estatísticos e algoritmos de ML para resolver problemas complexos.
• Visualização de Dados: Experiência com ferramentas como Tableau, Matplotlib ou Seaborn.

O que pode ser um diferencial

• Big Data: Familiaridade com tecnologias de armazenamento e processamento como Hadoop, Spark e NoSQL.
• Pesquisa Aplicada: Experiência anterior coordenando esforços de P&D.
• Visão de Produto: Capacidade de traduzir limitações técnicas em soluções de negócio para clientes

AE Studio is an LA-based company focused on increasing human agency, primarily by making the imminent AGI future go well. Our team consists of the best developers, data scientists, researchers, and founders. We do all sorts of projects, always of the quality that makes our clients sing our praises. 

We’ve worked with Samsung, Walmart, Berkshire Hathaway, and other large, important entities you’ve probably heard of.  Our work environment is fantastic for aspiring coders, calculators, and entrepreneurs.  Also, we have neither VC, nor PE, nor other acronyms funding us.  We have a weird business model where we sell our work for a profit and use those profits to pay people (I told you it was weird!). We then reinvest those profits into our promising research on AI alignment and our ambitious internal skunkworks projects. We previously sold one of our skunkworks for some number of millions of dollars.

We have made a name for ourselves in cutting-edge brain computer interface (BCI) R&D, and we are making a name for ourselves in our research and policy efforts on AI alignment. We want to optimize for human agency, if you feel similarly, please apply to support our efforts. Data scientists will have the opportunity between client projects to work on important alignment research, with the opportunity to potentially have your research project prioritized if particularly promising.

ABOUT YOU

• Experience with ML or alignment research
• You care about AI alignment, and are optimistic in humanity’s capacity to problem solve and safely navigate accelerating AI capabilities and have an awesome future
• Eager to use AI and automate everything you do
• Comfortable working in a fast-paced, startup-like environment
• Proven data science experience–primary or equal contributor, multiple smaller projects, management of stake-holders.
• Experience working with / building / training deep learning-based computer vision or NLP models or LLMs
• Lots of experience with Python
• Experience calling AI models’ APIs via REST or client libraries
• Growth mindset. Excited about learning new things and solving difficult problems
• Demonstrated ability to work independently/autonomously
• Track record for breaking down complex problems into manageable chunks for individual or team execution
• Full-time availability–but if you have cool side projects that increase human agency, we totally want you to keep working on it...we’ll even help!
• Ability to communicate effectively and work exclusively in English and communicate complex technical concepts clearly to a non-technical audience

BONUS POINTS FOR

• Experience with self-managed data science projects - show us your cool side hustles, especially if they increase human agency
• Experienced with software engineering best practices/software development background
• Agile experience (worked with Kanban, Scrum, Extreme Programming)
• JavaScript / Node.js experience
• Experience managing clients and client relationships
• Experience in startups
• Being in LA to work in person from our amazing office

Salary range is from $120K to $220K per year for people based in California. 

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.

ABOUT THE ROLE

As a Data Scientist at AE Studio, you’ll work on a mix of client projects and internal research initiatives. You’ll solve real-world problems, help build meaningful products, and contribute to groundbreaking AI alignment research. Your work will involve building data-driven solutions, leveraging machine learning models, and using your creativity to deliver results that matter.

In addition to client projects, you’ll have the opportunity to propose and pursue high-impact research projects, especially those aligned with our mission of increasing agency. Promising projects could even become prioritized skunkworks initiatives.

We want problem-solvers who are adaptable, collaborative, and excited to push boundaries. If this sounds like you, let’s talk.

ABOUT YOU

You thrive on solving challenging problems and bring a mix of technical expertise, creativity, and humor to your work. You enjoy working independently but also love collaborating with a team that shares your passion for making a difference.

Required Skills and Experience

• Fluency in Python..
• Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation.
• Proven data science experience: You’ve been a key contributor to impactful projects and know how to deliver results with real-life outcomes.
• Statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.
• Deep learning experience: Expertise in building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX.
• Agile & AI-powered development: You run lean Kanban/Scrum cycles and leverage AI-powered tools like Cursor to prototype quickly and ship high-impact solutions.
• Growth mindset: You embrace challenges, value progress over perfection, and constantly seek to improve.
• Self-management: You can work independently, take ownership of projects, and deliver without constant oversight.
• Product and UX understanding: You care about delivering a seamless, user-friendly experience.
• Effective communication in English: Clear, concise, and maybe even witty communication is essential.

Bonus Points for

• Self-managed projects: Ideally something that you helped develop from zero and shipped to real users.
• Startup experience: You thrive in dynamic environments and enjoy taking on new challenges.
• Client relationship management: Experience managing clients and delivering excellent results.
• Passion for AI alignment: You care deeply about humanity’s future and want to help navigate the challenges of advancing AI.

WHAT WE OFFER

• Remote-first culture: Work from anywhere, or join us in one of our offices.
• Flexible schedules: We care about outcomes, not micromanagement.
• Competitive pay: Regular performance-based raises and a diversified employee equity program.
• Opportunities for growth: Work on cutting-edge R&D and propose projects that could become our next skunkworks focus.
• Supportive environment: A team that collaborates, mentors, and shares knowledge.
• Perks: Health insurance, free lunches (at the office), weekly knowledge-sharing talks, and an annual team retreat.

Salary range is from $120K to $220K per year for people based in California. 

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.

ABOUT THE ROLE

As a Data Scientist at AE Studio, you’ll work on a mix of client projects and internal research initiatives. You’ll solve real-world problems, help build meaningful products, and contribute to groundbreaking AI alignment research. Your work will involve building data-driven solutions, leveraging machine learning models, and using your creativity to deliver results that matter.

In addition to client projects, you’ll have the opportunity to propose and pursue high-impact research projects, especially those aligned with our mission of increasing agency. Promising projects could even become prioritized skunkworks initiatives.

We want problem-solvers who are adaptable, collaborative, and excited to push boundaries. If this sounds like you, let’s talk.

ABOUT YOU

You thrive on solving challenging problems and bring a mix of technical expertise, creativity, and humor to your work. You enjoy working independently but also love collaborating with a team that shares your passion for making a difference.

Required Skills and Experience

• Fluency in Python..
• Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation.
• Proven data science experience: You’ve been a key contributor to impactful projects and know how to deliver results with real-life outcomes.
• Statistical & causal ML fundamentals: expertise in experimental design, uncertainty quantification, and rigorous model evaluation across tabular, time-series, and foundation-model fine-tuning tasks.
• Deep learning experience: Expertise in building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX.
• Agile & AI-powered development: You run lean Kanban/Scrum cycles and leverage AI-powered tools like Cursor to prototype quickly and ship high-impact solutions.
• Growth mindset: You embrace challenges, value progress over perfection, and constantly seek to improve.
• Self-management: You can work independently, take ownership of projects, and deliver without constant oversight.
• Product and UX understanding: You care about delivering a seamless, user-friendly experience.
• Effective communication in English: Clear, concise, and maybe even witty communication is essential.

Bonus Points for

• Self-managed projects: Ideally something that you helped develop from zero and shipped to real users.
• Startup experience: You thrive in dynamic environments and enjoy taking on new challenges.
• Client relationship management: Experience managing clients and delivering excellent results.
• Passion for AI alignment: You care deeply about humanity’s future and want to help navigate the challenges of advancing AI.

WHAT WE OFFER

• Remote-first culture: Work from anywhere, or join us in one of our offices.
• Flexible schedules: We care about outcomes, not micromanagement.
• Competitive pay: Regular performance-based raises and a diversified employee equity program.
• Opportunities for growth: Work on cutting-edge R&D and propose projects that could become our next skunkworks focus.
• Supportive environment: A team that collaborates, mentors, and shares knowledge.
• Perks: Weekly knowledge-sharing talks, an annual team retreat, and much more.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you will do: 

• Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning algorithms for portfolio optimization, recommendations, personalization, improve business economics and insight discovery. 
• Ensure that solutions are robust, scalable, and aligned with business objectives. Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
• Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability. Guide to best practices in leveraging these platforms to accelerate delivery. 
• Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions. Foster an agile mindset, driving rapid iteration and continuous improvement. 

 Qualifications 

• Bachelor’s degree in computer science, Statistics, Engineering, Mathematics, or any quantitative field; master's or PhD is strongly preferred.
• Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact. 
• Experience mentoring and coaching data scientists, fostering skill development and knowledge sharing within cross-functional teams. 
• Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis. 
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. 
• Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks. 
• Good knowledge of CI/CD tools like GitHub for version control and collaboration. Familiarity with other collaboration tools is a plus. 

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the Role

The Senior Data Scientist will be responsible for developing and leading solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models. This role involves tackling strategic challenges, combining traditional computer vision techniques with cutting-edge scene reconstruction and generative AI, focusing on detection, classification, visual similarity, synthetic data generation, and multimodal interpretation. You will act as a technical reference within the team, guiding architectural decisions and defining the best approaches for complex visual problems. You will work in a highly collaborative, global environment, transforming visual data into robust and scalable models, ensuring automation, efficiency, and high performance across implemented pipelines. We are looking for someone with an analytical mindset, curiosity, a strong technical foundation in the mentioned areas, excellent communication skills, a collaborative spirit, and a passion for innovation and continuous learning.

What you'll do

• Define and lead the technical approach for object detection solutions (e.g., YOLO, RT-DETR, and similar architectures), applying them to real-world problems with an emphasis on performance, accuracy, and scalability.
• Define and develop image classification strategies, with experience in architectures such as EfficientNet, MobileNet, and ResNet, focusing on production readiness.
• Lead the development of Siamese networks for verification and visual similarity tasks, applying fine-tuning and optimization strategies for image comparison and visual integrity validation.
• Define and apply multimodal generative and instruction-following models such as Qwen-VL, PaliGemma, and BLIP, using fine-tuning techniques like LoRA and QLoRA, focusing on image-text alignment.
• Knowledge of scene reconstruction techniques such as NeRF or Gaussian Splatting, and hands-on experience with frameworks like Nerfstudio or similar.
• Work with large volumes of visual data, coordinating curation, annotation, and qualitative evaluation strategies to ensure diversity and quality in image datasets.
• Generate and use synthetic and 3D data as complementary sources for training and evaluating models, supporting their creation and curation to enhance model generalization and robustness.
• Automate, version, and monitor training, inference, and deployment pipelines using Python, PySpark, MLflow, GitHub Actions, Docker, and CI/CD, running on cloud infrastructure (especially Azure and Databricks).
• Mentor junior and mid-level data scientists, supporting their technical growth and ensuring quality across the team's deliverables.
• Communicate technical results and trade-offs to senior stakeholders, ensuring strategic alignment of developed solutions.
• Collaborate with data engineers, data scientists, PMs, and business stakeholders, ensuring technical alignment and strategic impact of developed solutions.
• Work in an agile, global environment, participating in Scrum/Kanban ceremonies, technical reviews, and continuous delivery and learning cycles.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. A master's or PhD is strongly preferred.
• General and foundational knowledge in data science and statistics, including data analysis, modeling, and validation techniques.
• Strong background in Deep Learning, including mastery of Transformer architectures and advanced algorithms applied to real-world problems.
• Proven experience building and deploying models for object detection, image classification, visual information extraction, and multimodal interpretation.
• Proficiency in TensorFlow or PyTorch, with experience in model development and deployment.
• Experience with cloud computing, particularly Azure, Databricks, and Spark, for large-scale data processing.
• Expertise in Python and PySpark, plus familiarity with data manipulation and modeling libraries and frameworks.
• Knowledge of version control and collaboration tools such as GitHub, and experience with CI/CD pipelines for data and model projects.
• Understanding of automation workflows, model monitoring, and best practices for maintaining performance and robustness.
• Experience leading technical projects and guiding architectural decisions in data science or machine learning teams.
• Experience deploying models to production environments, including optimization and monitoring.
• Advanced English to operate in a global environment.
• Strong interpersonal skills, communication, teamwork, organization, autonomy, and focus on delivering high-quality results.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About BEES

BEES, our ambition is – and always will be – to put customers at the heart of everything we do. Making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year.

The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities. 

As a member of the BEES Fintech Data Science team, you will develop data-driven solutions for credit risk, underwriting, portfolio optimization, pricing, and decisioning systems that operate at scale and directly impact real-time credit decisions.

What you'll do:

• Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide.
• Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation.
• Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems.
• Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints.
• Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale.
• Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders.
• Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization.

What you'll need:

• Strong foundation in mathematics and statistics.
• Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus.
• Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems.
• Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints.
• Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus.
• Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows.
• Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality.
• Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems.
• Excellent communication skills, able to clearly explain complex models and results to both technical and non-technical audiences.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

The Role

At Super, data isn’t a support function. It’s at the heart of every major decision we make.

As a Senior Product Data Scientist, you’ll operate at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation. Your work won’t sit in slide decks. It will directly shape how millions of customers engage with our products.

This is a role for a very special kind of data scientist: someone who loves hard problems, thrives in ambiguity, and gets energised by moving from messy questions to clear decisions that drive strategy.

You’ll be expected to not just report what happened, but to uncover why through causal inference, anticipate what’s next, and produce decision memos that influence what we should do about it.

You’ll work in close partnership with Analytics Engineers, who build and maintain production data products. Your role is to define what needs to be measured and why, while AE ensures scalable, trustworthy data infrastructure.

What You’ll Do

Be the Decision Engine

• Run deep-dive analyses into customer behaviour, product usage, and commercial performance.
• Go beyond surface-level metrics to uncover causal drivers behind phenomena using rigorous statistical methods.
• Distinguish correlation from cause-and-effect.

Shape Strategy with Data

• Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions.
• Design and analyse experiments, including A/B tests and quasi-experiments.
• Deliver decision memos that change the course of decisions, with quantified impact ranges and clear “so what” guidance for Directors.

Define Metrics & Specifications

• Design KPI trees and define metric intent.
• Specify requirements for Analytics Engineers to implement certified, production-grade data products.
• Define tracking plans for instrumentation.
• Specify dashboard requirements and acceptance criteria.
• Ensure data capture supports decision-making needs.

Partner Across the Business

• Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers.
• Lead problem-framing sessions.
• Challenge assumptions and reframe vague requests into testable hypotheses.
• Bring analytical rigour to high-stakes discussions at the Director level.

Tackle Ambiguity

Super moves fast. The questions won’t always be clear. You’ll bring structure to chaos by translating broad business challenges into sharp analytical problems with measurable outcomes.

What We’re Looking For

Technical Mastery

• Advanced statistical methods & causal inference: A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and an understanding of CUPED and variance reduction techniques
• SQL proficiency for exploratory analysis and data validation (we use Snowflake). Enough to spec requirements for Analytics Engineers. Optimisation expertise is not required at this level.

Decision Science Mindset

A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy. You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.

Executive Communication

You excel at transforming complex causal analyses into clear, compelling narratives. You can distil findings into “so what” recommendations for Directors and other Commercial Stakeholders, making evidence accessible and actionable for strategic decision-making.

Commercial & Product Acumen

You don’t just crunch numbers. You understand how data connects to business outcomes, product design, and customer behaviour.

Proactive Problem Framing

You don’t wait for perfectly-scoped requests. You reframe vague asks, propose alternative hypotheses, and drive analytical roadmaps based on business priorities. You’re comfortable with ambiguity and bias toward “what should we do?” over “what happened?”.

Proven Track Record

Minimum 5+ years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth through causal analysis and experimentation.

The Role

At Super, data isn’t a support function. It’s at the heart of every major decision we make.

As a Senior Commercial Data Scientist, you’ll operate at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation. Your work won’t sit in slide decks. It will directly shape how millions of customers engage with our products.

This is a role for a very special kind of data scientist: someone who loves hard problems, thrives in ambiguity, and gets energised by moving from messy questions to clear decisions that drive strategy.

You’ll be expected to not just report what happened, but to uncover why through causal inference, anticipate what’s next, and produce decision memos that influence what we should do about it.

You’ll work in close partnership with Analytics Engineers, who build and maintain production data products. Your role is to define what needs to be measured and why, while AE ensures scalable, trustworthy data infrastructure.

What You’ll Do

Be the Decision Engine

• Run deep-dive analyses into customer behaviour, product usage, and commercial performance.
• Go beyond surface-level metrics to uncover causal drivers behind phenomena using rigorous statistical methods.
• Distinguish correlation from cause-and-effect.

Shape Strategy with Data

• Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions.
• Design and analyse experiments, including A/B tests and quasi-experiments.
• Deliver decision memos that change the course of decisions, with quantified impact ranges and clear “so what” guidance for Directors.

Define Metrics & Specifications

• Design KPI trees and define metric intent.
• Specify requirements for Analytics Engineers to implement certified, production-grade data products.
• Define tracking plans for instrumentation.
• Specify dashboard requirements and acceptance criteria.
• Ensure data capture supports decision-making needs.

Partner Across the Business

• Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers.
• Lead problem-framing sessions.
• Challenge assumptions and reframe vague requests into testable hypotheses.
• Bring analytical rigour to high-stakes discussions at the Director level.

Tackle Ambiguity

Super moves fast. The questions won’t always be clear. You’ll bring structure to chaos by translating broad business challenges into sharp analytical problems with measurable outcomes.

What We’re Looking For

Technical Mastery

• Advanced statistical methods & causal inference: A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and an understanding of CUPED and variance reduction techniques
• SQL proficiency for exploratory analysis and data validation (we use Snowflake). Enough to spec requirements for Analytics Engineers. Optimisation expertise is not required at this level.

Decision Science Mindset

A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy. You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.

Executive Communication

You excel at transforming complex causal analyses into clear, compelling narratives. You can distil findings into “so what” recommendations for Directors and other Commercial Stakeholders, making evidence accessible and actionable for strategic decision-making.

Commercial & Product Acumen

You don’t just crunch numbers. You understand how data connects to business outcomes, product design, and customer behaviour.

Proactive Problem Framing

You don’t wait for perfectly-scoped requests. You reframe vague asks, propose alternative hypotheses, and drive analytical roadmaps based on business priorities. You’re comfortable with ambiguity and bias toward “what should we do?” over “what happened?”.

Proven Track Record

Minimum 5+ years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth through causal analysis and experimentation.

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Manager Data Scientist to our Engagement & Platform team in Brazil! This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

As a Data Science Manager, you will be responsible for shaping the ML and experimentation strategy behind our engagement system, including ML models (e.g., contextual bandits, reinforcement learning, classification, etc) and AI agents that produce dynamic, personalized nudges to the Wellhub AI users. You will work closely with Product, Engineering, and Data Scientists to design, build, and evaluate systems that operate at scale. This role also includes people management, mentoring, and raising the bar on scientific rigor across the team.

YOUR IMPACT

• Machine Learning Systems: Design and develop ML models for outreach personalization, including contextual bandits, reinforcement learning, and classification models.
• AI Agents: Design and develop AI agents that generate dynamic, personalized nudge content and conversational interventions.
• A/B Testing & Experimentation: Design and analyze large-scale A/B tests and experimentation frameworks to evaluate ML models, data-driven signals, nudges, and content strategies. Define success metrics and ensure statistically sound experimentation practices.
• Data Pipelines & Analytics: Collaborate on the design of data pipelines and event schemas that feed the product, ensuring high-quality data for real-time decisioning and offline analysis.
• Evaluation & Monitoring: Define and implement robust monitoring frameworks for the product, including short-term engagement metrics, longer-term retention, opt-outs, and intervention fatigue.
• Leadership & People Management: Lead, mentor, and grow the data scientists of the team. Set technical direction, ensure high-quality delivery, and foster strong collaboration with Product and Engineering stakeholders.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

• BSc., Master’s or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field;
• At least 8 years of professional experience in Data Science, Machine Learning, or Applied AI roles;
• At least 3 years of experience in people management, leading and developing data science teams;
• Strong proficiency in Python and experience with ML frameworks (e.g., Vowpal Wabbit, PyTorch, or similar);
• Strong foundation in experimentation, A/B testing, and large-scale experimentation design and analysis;
• Experience working with Generative AI systems in production environments;
• Solid problem-solving skills and ability to translate product goals into measurable, data-driven solutions;
• Strong communication skills and ability to work cross-functionally with Product and Engineering teams.

Preferred Qualifications:

• Experience applying ML techniques such as contextual bandits, reinforcement learning, and classification models in production systems.
• Familiarity with real-time or near-real-time decisioning systems for personalization.
• Experience designing data pipelines or collaborating closely with data engineering teams.
• Background in consumer products or digital health is a plus.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in Machine Learning and people management are mandatory requirements.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. 

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content. 

HEALTHCARE: Health, dental, and life insurance. 

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office. 

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. 

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.

#LI-REMOTE

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

Responsibilities:

• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace.
• Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions.
• Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives.
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary.
• Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development.
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.
• Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches.
• Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
• 5+ years of experience in data science
• Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python.
• Proficient in applied statistics, including knowledge of probability distributions, confidence intervals, statistical tests (e.g., t-tests, ANOVA, Chi-Square), and power analysis.
• Experience with pricing algorithms and technology-driven product development.
• Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices.
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively.
• Must be able to work core hours aligned with US Eastern Time (GMT-5).
• Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders.

#LI-Remote

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.

About the role

At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s most critical decision systems. We are seeking an Lead Machine Learning Engineer (Applied AI Scientist) to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.

As an Applied AI Scientist (MLE), you’re expected to:

1. Research Execution & Technical Leadership (Complexity & Autonomy)

• Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
• Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
• Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.

1. Strategic Impact & Collaboration (Impact)

• Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
• Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
• Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.

1. Mentorship & Function Contribution (Function Contribution)

• Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
• Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
• Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank’s strategic goals.

What are we looking for?

• Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
• Technical Mastery:
  • Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
  • Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
  • Solid understanding of MLOps and the constraints of deploying models at scale.
• Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
• Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
• Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

About the Role

As a Data Scientist, you will join the AI Models team at Weni by VTEX, a business unit of VTEX. You will be responsible for researching, developing, and improving machine learning models that power our conversational agents and multi-agent systems. You are driven by curiosity and impact, transforming complex data into tangible improvements in user experience and product performance.

What you will do

• Research, design, and implement machine learning models to improve the performance of conversational agents and multi-agent systems.
• Analyze large datasets to extract insights that guide model improvements and product decisions.
• Work closely with engineers and product managers to bring AI models from prototype to production. 
• Continuously evaluate model performance and iterate based on real-world usage and feedback.
• Perform exploratory data analysis (EDA) to uncover hidden structures, anomalies, and relationships in data, informing hypothesis generation and experimental design for conversational AI systems. 

Who you are

• Strong foundation in Statistics.
• Proficiency in Python.
• Experience using Git for code version control.
• Hands-on experience with scikit-learn, pandas, and other data-related frameworks.
• Knowledge of Deep Learning.
• Experience with cloud platforms (AWS) for storage, pipelines, and deployment.
• Monitoring performance, drift, and data quality in production.
• Critical thinking, curiosity, and proactive problem-solving.
• Clear communication (oral, written, and visual) and collaborative teamwork.
• Familiarity with GenAI/LLMs (prompt engineering, fine-tuning, hallucination evaluation).
• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.

About VTEX

VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024).

Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com.

At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.

About Weni by VTEX

Weni by VTEX is a business unit of VTEX dedicated to enterprise customer experience solutions powered by artificial intelligence, designed for brands and retailers.

With the Weni Platform, we redefine sales and post-sales journeys through hyperautomation and the smart integration of data into conversational channels, delivering faster, more personalized, and more efficient experiences for consumers.

Benefits

• Health, dental, and life insurance with national coverage provided by VTEX;
• Language development incentive program (English, Spanish, Portuguese);
• Flexible meal allowance;
• Extended parental leaves;
• Flexible work schedule and remote-first culture;
• Financial assistance to build your work-from-home setup;
• Wellness program;
• Budget for Development. 

Please submit your resume in English. Applications in other languages may not be considered.

Bold Metrics is the leading fit and sizing solution on the market today for the world’s top retailers and brands. We are a venture-backed startup that is making a big impact on the environment, forever changing the landscape of eCommerce. We are a remote-first company that is full of inspiring and friendly people.

We are currently searching for a Data Scientist to join our fast-growing team. This position is for someone located in Brazil and working remotely, however if you're located in São Paulo, you will be able to come into the office location as needed. In this position you will have the opportunity to work with some of our biggest projects within the retail industry.

About You:  

You are a humble, passionate, and experienced engineer that is looking for a collaborative and analytical Data Scientist role to support the execution of our product deliveries and machine learning pipeline. This comprises validating the data flow from data sources, analyzing patterns and trends in the data, and facilitating machine learning updates to the system. 

As our Data Scientist, you are an extremely detail oriented, out-of-the-box problem solver with a commitment to doing high-quality work. You will work closely with the Engineering and Data Teams, alongside Customer Success teams to support the flow of data collection and machine learning initiatives to ultimately drive customer success.

How You Will Make an Impact:  

• Lead strategic decision-making for user growth and product innovation by utilizing the full range of data science tools, including analytics, experimentation, forecasting, and machine learning, to enhance the entire consumer experience.
• Develop and deploy machine learning models and causal inference techniques at scale, from concept to measurable business impact.
• Design and oversee experiments and analyses to evaluate product performance and drive continuous improvements.
• Build and maintain automated, scalable data pipelines to support reporting, data visualization, analytics, and machine learning for internal products and solutions.
• Lead the design and management of comprehensive machine learning platforms, ensuring robust model development and deployment processes.

Skills and Qualifications: (even if you do not meet these skills 100%, we still welcome you to apply) 

• BSc or MSc in Mathematics, Computer Science, Engineering or related field.
• Over 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning.
• +4 years of demonstrated high proficiency in Python and SQL.
• Practical expertise in A/B testing and causal inference.
• Extensive experience with AWS cloud technologies.
• Must have experience and be proficient in MLOps practices, including model deployment and monitoring.
• Experience with Docker for containerization and Git for version control.

About Us: 

Bold Metrics, established in 2017, is a SaaS solution for retailers and brands to reduce returns, improve sustainability and supercharge their supply chain from the ground up. Using a comprehensive set of machine learning and AI technologies to accurately capture customer body measurements, we help apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world. 

Learn more about us at boldmetrics.com

We strive to create a place to work where we all feel safe, empowered, engaged and inspired. We are an equal opportunity employer committed to offering employment that is based upon personal capabilities and qualifications without discrimination based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.