Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India.

Who We Need

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

This Opportunity

This Clinical Data Analyst position is a high impact, intellectually challenging role that requires a diverse set of analytical and technical skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data and clinical notes data and become a nexus of healthcare and technology. You will be solving meaningful and consequential problems in healthcare using an EHR and clinical notes database of 120 million US patients (and growing!) and help drive insights that can ultimately improve and impact on patient care. This position will report to our Director of Clinical Intelligence and AI Evaluation team and support end-to-end evaluation, extraction, execution and delivery of custom concepts from clinical notes and EHR data to help our customers dive deeply into complex research questions related to human health and generate data-driven insights that support impactful scientific decisions.

Responsibilities

· Use technical skills to scope out clinical informatics data analyses requests from both internal and external customers, produce studies and results within an agreed deadline.

· Communicate on the status of various projects and collaborate with multidisciplinary stakeholders to ensure that clinical data projects are successfully executed and delivered.

· Excel in providing technical analytics support as well as directly working with internal stakeholders to troubleshoot any data analyses. Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on real-world data to address their empirical questions.

· Write Databricks SQL queries to extract, analyze and interpret clinical concepts from clinical notes per customer requests.

· Create dashboards, data visualizations, and data tools to support data-driven decision making.

· Create enablement materials and studies as the Truveta platform evolves to help new researchers to increase our capabilities.

· Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current internal and external customers.

· Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.

Required Skills

· Graduate or Masters level educational degree in clinical research, data analysis, data science, clinical informatics, health information management or related fields.

· 3+ years of demonstrated experience conducting analyses using large healthcare datasets (e.g., electronic health records, clinical notes or other real-world data sources consisting of millions of patients' data.).

· 3+ years of demonstrated experience working with customers or research teams to translate their asks into executable analytical code, rigorous quality analytical datasets, deliver high quality research analyses.

· Strong proficiency in SQL, at least one statistical programming language (R or Python), familiar with Spark bigdata analytics environments, for data wrangling, analysis, and reproducible research workflows.

· Strong hands-on problem-solving skills, troubleshoot and identify data or methodological issues early and communicate them effectively. Have ownership, accountability and reliability mindset.

· Excellent written and verbal communication skills, including the ability to clearly explain analytical approaches and findings to technical and non-technical stakeholders.

· Ability to learn and adapt quickly in a dynamic start-up environment and a good team-player.

· Willingness to learn new analytical tools, programming languages, and proprietary platforms used to analyze real-world data.

Preferred Qualifications

These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.

· Spark/PySpark, Databricks experience

· Experience working with unstructured clinical data or natural language processing outputs

· Regex query writing experience

· Experience building cohort definitions or eligibility criteria for research studies

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. We are expanding our global footprint. Join us as we build an amazing company together.

We Offer:

· Interesting and meaningful work for every career stage

· Great benefits package

· Comprehensive benefits with strong medical, dental and vision insurance plans

· Professional development & training opportunities for continuous learning

· Work/life autonomy via flexible work hours and flexible paid time off

· Generous parental leave

· Regular team activities (virtual and in-person as soon as we are able)

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude people from some sections, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non-technical teams
• Comfortable working in fast fast-paced environment, self-starter, and self-organizer
• Ability to think strategically, analyze, and interpret market and consumer information

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Job Title: Senior Data Engineer

Job Location: Hyderabad, India

Job Type: Full-time

Work Mode: (Hybrid – we operate from the office 1 day a week as of now and might change to 2 days depending on the need).

Company : Coeo Ltd.,

About the company: 

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and comraderies experience working with Microsoft Data Services to help our clients optimize their costs and maximize the benefits from their investments in these technologies. Coeo has been established for over 17 years and has offices in Reading, UK and Hyderabad, India. We are exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes. To do this our business has always focused on:

• Data Managed Services
• Data Platform Consultancy
• Analytics Consultancy
• Artificial Intelligence Consultancy
• Adoption and Change Management

But above all, Coeo’s most important asset is its people, and at Coeo we are really focused on investing time, attention, and resources into building a culture that truly values its people.

We are growing our teams in India to support our ongoing customer requirements in Managed Services, Consulting and Development.

Coeo is recruiting a strong Senior Data Engineer; we’ll give you the opportunity to grow and develop your capabilities as well as support you through Microsoft certifications. You’ll have experience in:

• Developing low to high complexity, secure, governed, high quality and efficient data pipelines from a variety of on and off premise, internal and external data sources.
• Ensuring that data is cleansed, mapped, transformed, and optimized for storage to meet requirements for business and technical use cases.
• Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies.
• Take all requirements into account when creating a proposal
• Understanding and evaluating the organizational impact of new technologies and digital services
• Troubleshooting and resolving issues

You may be building solutions that transform data into data lake storage areas, physical database models and reporting structures across data lakes, Datawarehouse, business intelligence systems and analytics applications. You may also be required to carry out unit testing of your own code and peer testing of others to ensure appropriate quality.

Experience

• Experience working with large, event-based, datasets in an enterprise environment.
• Minimum 6 years within an Azure or SQL Data Engineering environment
• Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies.
• Experience developing, driving & maintaining Data Integration Roadmaps and best practices.
• Overall responsibility of all technical business requirements, gathering deliverables and implementation.
• Ability to deliver high-to-low level designs for Data Solutions and have a good understanding of the full data lifecycle.
• Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc.
• Hands-on experience designing and developing stored procedures/functions and leveraging ETL packages/workflows
• Expertise in Cloud related Big Data integration and infrastructure tech stack using Azure Databricks & Apache Spark framework
• Well-versed with scripting languages such as Python
• Experience in Continuous Integration / Continuous Delivery (CI/CD).
• Experience working in an agile environment and self-managing teams.
• Understanding and practical knowledge of testing techniques and tools

Desired Skills

• Big Data
• Azure
• Spark
• Python
• Azure Databricks
• Azure Synapse
• Microsoft Fabric
• Azure Data Factory
• SQL Server

Benefits

• Company bonus scheme driven by yours and our success
• Comprehensive benefits package
• We care about your wellbeing so have invested resources and training help to ensure you can be at your best with us
• Very friendly, inclusive culture, family-feel and strong camaraderie
• Company growth and new projects mean on going career progression options
• Up to date technology, so collaboration has never been easier
• Cutting edge technology projects – exciting goals ahead!

Diversity and Inclusion:

Coeo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected, and supported. If you require any adjustments or additional support during the interview process, please let us know, and we will be happy to accommodate your needs.

How to Apply:

Click Apply or visit our Careers page at www.coeo.com. or you can send your resume to krishna.chaitanya@coeo.com

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Senior Data (Platform) Engineer 

Location: Hyderabad | Department: Technology, Data 

About the Role 

Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling. 

You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. 

What You'll Do 

Data Platform & Infrastructure

• Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
• Provision and manage cloud resources across development, staging, and production environments.
• Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
• Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
• Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
• Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
• Continuously monitor and optimize platform performance and cost. 

Framework, Tooling and Enablement

• Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
• Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
• Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
• Create and maintain technical documentation and examples to support self-service analytics and data development. 

What You’ll Need 

Technical Skills & Experience

• 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with:
  • Terraform
  • Airflow
  • dbt
  • Kubernetes
  • Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.) 
• Strong understanding of analytical data models and how analytics teams consume data.
• Experience integrating and operating LLM-based pipelines and services (not model training). 

Soft Skills & Collaboration

• Strong problem-solving skills and ability to debug complex platform issues.
• Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
• Clear communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic, ownership-driven mindset with a focus on reliability and simplicity. 

Why Join Us? 

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together. 

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models.
• Define and drive the roadmap for AI/ML initiatives across Crunchyroll’s product and platform ecosystem.
• Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams.
• Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments.
• Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects.
• Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness.
• Own operational metrics around model impact, latency, cost, and system scalability.
• Foster a strong team culture centered on innovation, curiosity, collaboration, and continuous learning.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
• Proven track record of delivering production ML systems that solve real-world business problems.
• Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
• Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
• Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
• Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
• A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About the Role

We are seeking a Marketing Science Analyst II to join our Marketing Analytics team in Hyderabad. In this role, you will partner with paid media, growth, and cross-functional teams to measure and optimize marketing performance across digital and offline channels. You will play a key role in campaign measurement, attribution, experimentation, and reporting—translating complex data into actionable insights that drive business growth.

This position is ideal for a highly analytical professional with hands-on marketing analytics experience who is ready to take ownership of measurement frameworks while collaborating across a global organization.

Responsibilities

Campaign Measurement & Attribution

• Support the tracking and reporting of campaign performance by compiling relevant KPIs and spend data. 
• Assist in incrementality testing efforts and contribute to A/B test setup and execution for marketing initiatives. 
• Help evaluate performance using MMM inputs, basic channel lift analysis, and cross-channel measurement frameworks.

Performance Analytics & Optimization

• Track and report key performance metrics including Signups, CAC, CPFT, and payback periods.
• Conduct deep-dive analyses to identify performance drivers and optimization opportunities.
• Assist in maintaining regular campaign reporting across lines of business.
• Develop and refine audience segments for targeted paid campaigns, leveraging data insights to enhance performance

Data Analysis & Reporting

• Write complex SQL queries to analyze large datasets (millions to billions of records).
• Build and maintain dashboards in Tableau (or similar BI tools) to support stakeholder reporting needs
• Collaborate with analytics engineering teams to improve data quality, pipelines, and reporting processes.

Experimentation & Insights

• Assist in executing the test roadmap aligned with marketing goals.
• Apply basic statistical methods to evaluate experiments and measure performance impact.
• Support the translation of findings into clear insights and actionable recommendations.
• Support MMM modeling efforts within Marketing Science by contributing to data inputs and assisting in the interpretation of model outputs for marketing measurement

Cross-Functional Collaboration

• Work closely with PMUA, GTM, Analytics, and Data Engineering teams to align on KPIs and measurement standards.
• Maintain documentation and support alignment across teams.
• Contribute to bi-weekly insights decks and leadership reporting.

About You

• 2+ years of experience in marketing analytics, data analytics, or a related quantitative field.
• 2+ years of experience writing complex SQL queries and working with large datasets.
• Experience with marketing attribution, paid media analytics, and performance measurement.
• Familiarity with marketing tools such as Google Analytics, Braze,Singular, Mixpanel  or similar platforms.
• Strong understanding of:
• Descriptive statistics
• Experimental design and A/B testing
• Key marketing KPIs (CAC, LTV, ROAS, retention)
• Familiarity with statistical methods and exposure to data science techniques (e.g., regression, experimentation, MMM) in a marketing analytics context.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Strong communication skills with the ability to translate complex data into clear, actionable insights.
• Proven ability to collaborate across cross-functional and global teams.
• Bachelor’s degree in Statistics, Computer Science, Engineering, or a related quantitative field.

Good to Have

• Experience with cloud data warehouses such as Snowflake or Redshift.
• Exposure to Marketing Mix Modeling (MMM) or advanced attribution modeling.
• Experience with analytics engineering tools such as Databricks.
• Exposure to automation of marketing reporting pipelines.

A Day in the Life

• Analyze campaign performance across paid social, search, display, and offline channels.
• Evaluate incrementality tests and provide recommendations on budget allocation.
• Build dashboards and automated reports to scale insights delivery.
• Partner with marketing leads to refine KPIs and measurement frameworks.
• Deliver insights to leadership through structured storytelling and data visualization.
• Contribute to sprint planning and collaborate with global stakeholders to drive high-impact analytics initiatives.

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

• Architect and implement end-to-end LLM-based applications, including chatbots, assistants, search agents, and knowledge discovery tools.
• Design and deploy scalable RAG and GraphRAG pipelines using vector databases (e.g., Opensearch, Pinecone, Mongo) and document chunking strategies.
• Fine-tune and optimize foundation models (e.g., Bedrock, Claude, Nova) for domain-specific use cases.
• Own prompt design and evaluation - build prompt libraries and frameworks that enable rapid experimentation and reuse.
• Develop APIs and microservices to serve LLM-based applications with real-time latency and uptime guarantees.
• Collaborate with data, platform, and backend teams to integrate LLM capabilities into broader Crunchyroll product experiences.
• Monitor and evaluate LLM systems in production for hallucination, latency, cost, and feedback loops.
• Stay up to date with the latest in LLM research, tooling (LangChain, LlamaIndex), and ecosystem advancements.

About You

We get excited about candidates, like you, because...

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• 5+ years of experience building production ML/AI systems, with 2+ years specifically focused on LLM applications.
• Hands-on experience with production-ready RAG systems using tools like LangChain, LlamaIndex, or custom pipelines.
• Hands-on experience with GraphRAG, LLMs, Graph and Vector Databases.
• Deep understanding of prompt engineering, prompt templating, and prompt evaluation strategies.
• Experience working with major foundation models (OpenAI, Anthropic, Nova, Bedrock etc.).
• Familiarity with building semantic search systems and working with vector DBs at scale.
• Strong backend/API development experience using TypeScript and knowledge of deploying services to cloud environments.
• Python skills and experience working with AWS cloud platform and MLOps tools (e.g., AWS Bedrock, SageMaker, Databricks, Lambda, ECS/Fargate).

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

Overview:   We are seeking a seasoned Software Engineer L5 with strong reporting and data experience to design, build, and optimize scalable systems that support analytics and business intelligence and reporting capabilities for our clients. This role requires deep technical expertise, sound architectural judgment, and a passion for building reliable, high-performance solutions.

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence.
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• 10+ years of experience in software engineering or related IT roles, working with complex computing platforms and modern technologies such as virtualization, distributed systems, and high-performance computing.
• Strong foundation in system architecture, design patterns, and automation, with a consistent focus on engineering excellence.
• Experience working with large data sets, including data pipelines, data access controls, and data warehouse platforms such as Snowflake or Databricks.
• At least 3 years of experience with the .NET platform using C# or another object-oriented programming language.
• Hands-on experience working in cloud environments, preferably AWS.
• Experience developing or supporting BI and reporting solutions, or a strong willingness to learn Power BI.
• Solid understanding of virtualization technologies and distributed architectures.
• Demonstrated ability to debug complex issues, optimize code, and participate in high-quality code reviews.
• Proven track record of improving system stability and performance through thoughtful design, testing strategies, monitoring, and controlled rollouts.
• Strong problem-solving skills with a focus on delivering scalable, maintainable, and elegant solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.