Job Description

As a Media Specialist Operations, you will be the guardian of technical excellence and operational flow. This role is designed for a high-performing Analyst ready to take the next step into operational architecture. You won't just execute campaigns; you will ensure the entire "machine" runs without friction.

You will support the media department by overseeing the technical backbone of our platforms, ensuring that tracking, taxonomy, and billing structures are robust. You act as a specialist consultant for the planning teams, ensuring that what is promised to the client is technically feasible and flawlessly implemented.

Key Responsibilities

Operational Excellence & Governance

• Advanced Taxonomy Management: Elevate naming conventions from simple labels to a scalable data structure. You are responsible for ensuring that all campaign data is "dashboard-ready" through perfect UTM and naming discipline.
• Account Health & Setup: Own the end-to-end setup of Business Managers and Google Ads accounts, including the linking of Partners (e.g., Bayer/Monks), managing permissions, and ensuring correct payment configurations (VEPs, Lines of Credit).
• Budget Stewardship: Monitor pacing across all accounts to prevent overspends or under-deliveries, acting as an early-warning system for the Media leads.
• Platform Liaison: Act as the first point of contact for technical platform issues, managing support tickets with Meta and Google to resolve bugs or disapproved assets.

Technical Activation & Measurement

• Precision Activation: Execute complex campaign setups in Meta Ads Manager and Google Ads, including retargeting structures, catalog sales, and multi-market deployments.
• Signal Management: Support the implementation and auditing of tracking signals, including the Meta Pixel, Conversion API (CAPI), and basic Google Tag Manager (GTM) deployments.
• Tool Integration: Manage third-party tool integrations, such as Influencity, ensuring that influencer data is correctly mapped and accessible for reporting.

Strategic Support & Scaling

• Operational Onboarding: Assist in the technical onboarding of new clients, ensuring all assets (Pages, Ad Accounts, Pixels) are correctly claimed and shared between Partners.
• Process Documentation: Create and maintain "How-to" guides for internal processes to ensure the team operates with a unified standard.
• Reporting Infrastructure: Work closely with Data teams to ensure that data connectors from platforms to reporting tools (Looker Studio) are functioning and accurate.

Qualifications

• Experience: 2–3 years of hands-on experience in digital media (moving from an Analyst role).
• Platform Proficiency: Deep knowledge of Meta Business Suite and Google Ads. Experience with Influencity or similar influencer management tools is a plus.
• Operational Logic: A strong understanding of the "Why" behind account structures and how data flows from a click to a conversion.
• Attention to Detail: An almost obsessive focus on "the small stuff"—decimals in budgets, underscores in UTMs, and specific specs in ad copies.
• Communication: Ability to explain technical platform requirements to non-technical stakeholders (Account Managers or Clients).

Preferred (Nice to Have)

• Technical Basics: Familiarity with Google Analytics 4 (GA4) and how it integrates with media platforms.
• Problem Solving: Experience in troubleshooting pixel fires or catalog sync issues.
• Certifications: Advanced certifications in Google Ads or Meta Blueprint.

As part of the data team at Monks, you’ll work at the intersection of analytics, reporting, and marketing—helping us translate complex data into actionable insights. You’ll play a key role in designing, streamlining, and managing dashboards, reports, and data products, as well as collaborating with cross-functional teams to support smarter decision-making across the company.

What You’ll Do

• Build, optimize, and maintain reports and dashboards that help teams evaluate project and business performance.
• Ability to achieve a data integration process used to combine data from multiple sources into a single, consistent data store, such as a data warehouse or data lake (ETL).
• Manage the data team backlog, acting as owner for ongoing initiatives.
• Analyze large datasets to detect trends, identify anomalies, and surface actionable insights.
• Collaborate with stakeholders to offer analytical support and guide data-informed decisions.
• Maintain and improve data pipelines using integration tools across multiple platforms.
• Develop and deliver clear data visualizations and spreadsheets tailored for different audiences.
• Monitor for data quality issues and proactively propose solutions.
• Drive process improvements that enhance the efficiency and value of the data function.
  
  

What We’re Looking For

• Degree in Data Science, Statistics, Economics, Quantitative Finance or a related analytical field.
• Hands-on experience with SQL and data visualization tools (Looker Studio / Data Studio, Power BI or Tableau as a second priority).
• Hands-on experience with Big Query preferably or other data warehouse tools
• Ability to translate data into compelling stories for both technical and non-technical stakeholders.
• Strong organizational and product owner skills.
• Detail-oriented mindset with a high level of accuracy and autonomy.
• Excellent problem-solving and communication skills.
• Mid level of English, both spoken and written.
• Familiarity with GCP or other cloud platforms is a strong plus.
• Artificial intelligence enthusiast
  
  

What We Value

• Initiative and ownership—you don’t wait for orders; you take action.
• Strategic thinking combined with the drive to execute.
• Team-first mindset with a collaborative spirit.
• Resourcefulness—you can find answers even when it’s your first time facing the problem.
• Technical skills

#LI-MR1 #LI-Hybrid ID: 11429 

Entry level, Media Operations (Programmatic)

As part of the Media Resale & Activation team, you will be at the heart of digital execution. This is a "hands-on-keyboard" role focused on navigating the complexities of digital platforms—inclusive of tagging, trafficking, and buying—to transform client business goals into measurable media success.

Core Responsibilities The Tech Stacks 

• Campaign Execution: Support the end-to-end setup of media campaigns. This includes building campaigns, setting budgets and pacing, assigning creatives, and implementing granular targeting across various platforms.

• Technical Troubleshooting & QA: Maintain high standards of accuracy by performing rigorous QA checks. You will identify, troubleshoot, and escalate platform issues, ensuring all tags and linkages are functioning perfectly.

• Operational Excellence: Manage administrative tasks essential to the business, such as maintaining Salesforce (SFDC) records, providing billing support, and ensuring adherence to internal financial operations.

• Collaboration: Partner with diverse Media Capabilities—including Analytics, Product, and Media Growth—to share learnings and implement best practices across the pillar.

The Tech Stacks 

You will gain exposure to and operate within an industry-leading ecosystem:

• Programmatic & Ad Serving: Campaign Manager, DV360, The Trade Desk, Amazon DSP.

• Search & Social: Google Ads, SA360, Meta, LinkedIn, TikTok, Snapchat.

• Data & Measurement: Google Analytics, Google Tag Manager, Looker Studio.

Requirements

• English Proficiency: Upper Intermediate (B2) level or higher (Cambridge English Scale).

• Mindset: A proactive learner with the ability to communicate consistently and effectively within a fast-paced team environment.

• Precision: High attention to detail, specifically regarding data entry, platform configuration, and quality assurance.

• Adaptability: Ability to balance internal growth activities (trainings and feedback) with client-facing deliverables.

Key Performance Areas

• Client Success: Delivering a best-in-class experience through flawless execution and proactive recommendations.

• Process Adherence: Strict following of Monks’ workflows, from time tracking and platform certifications to onboarding and credit requests.

• Growth: Actively seeking feedback and applying it to professional development and internal projects.

#LI-VG1-  #LI-Hybrid #ID:11320

Let’s start with the role

In one sentence, this role is responsible for all campaigns and initiatives aimed at new user acquisition, as well as for the strategic management of the budget. The position requires a candidate to thoroughly oversee all work executed by the Performance Marketing team based in Greece. The ideal candidate should possess an end-to-end understanding of the user journey, from the initial digital campaign touchpoint through to successful conversion on Betano.bet.ar.

As a Digital Marketing Manager, you will:

• Be fluent in 'performance language' and demonstrate a deep understanding of the mechanics of each platform (Instagram, Facebook, TikTok, X, etc.). 
• Analyze and optimize fluctuations within the acquisition funnel. 
• Be responsible for the maintenance and expansion of Google PPC, Display, Social Media, Programmatic and SEM campaigns across major search engines and countries of operation. This includes account audits, keyword/ad optimization and mining, ad copy creation, device optimization and audience bidding.
• Implement and track conversion events accurately via pixels and Conversion APIs.
• Monitoring and implementation of creative best practices across all performance marketing channels.
• Collaborate with the local team to plan new user offers and coordinate with the Greek creative teams on asset development and data sharing to drive campaign success.

What you’ll bring:

• Minimum of 5 years of relevant professional experience. 
• A degree in Business Administration, Economics, Engineering Marketing or a related field.
• Advanced experience with Google Analytics 4 (GA4) and Google Tag Manager (GTM).
• Proficiency in data visualization tools such as Looker Studio, Tableau, or Power BI.
• Fluency in English is a must; while native proficiency is not required, the ability to communicate effectively and confidently with the team in Greece is essential. 
• Industry experience is not mandatory; however, it is critical that the candidate brings several years of experience in performance marketing, digital campaigns, user acquisition, and attribution models within B2C environments.
• Effective and creative problem-solving and decision-making skills.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Staff Data Platform Architect to help design and evolve the modern data platform that powers analytics, product decision-making, experimentation, and AI/ML across GoFundMe.

This is a highly impactful role focused on modernizing our existing data ecosystem into a scalable, cloud-native foundation for real-time insights, experimentation, trust and safety, and AI-driven experiences. You’ll partner closely with engineering, product, analytics, and data science to build systems that are reliable, efficient, and built for long-term growth.

AI is increasingly embedded in how we build, prioritize, and ship across Product and Technology, and this role will help create the data foundation that enables those capabilities to scale responsibly, reliably, and effectively.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Modernize and evolve our existing data ecosystem into a scalable, secure, and high-performing cloud-native platform.
• Own end-to-end data platform architecture across ingestion, transformation, modeling, storage, and consumption.
• Design systems that support analytics, real-time reporting, experimentation, trust and safety, and AI/ML use cases.
• Define enterprise-wide standards for data modeling, semantic layers, and trusted datasets used across the business.
• Build practical frameworks for data lineage, quality, privacy, and security, including support for GDPR, CCPA, and other compliance needs.
• Drive reliability, observability, and cost efficiency across the platform to support growth at scale.
• Guide technology decisions across data engineering, analytics, and AI use cases, including evaluation of modern tools and architectural patterns.
• Partner cross-functionally with engineering, product, analytics, and data science teams to translate business needs into scalable technical solutions.
• Stay hands-on in architecture and design decisions, helping solve complex platform problems when needed.
• Mentor engineers and raise the technical bar across the data organization by coaching on best practices and influencing strategic platform decisions.

You

• 10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ years in a senior, staff, or architect-level role.
• Proven experience building and evolving data platforms end-to-end, including architecture, data models, and platform standards — not just individual pipelines.
• Hands-on experience with modern cloud-native data platforms such as Snowflake, Databricks, or similar technologies.
• Strong understanding of data modeling, semantic layers, and building trusted datasets for analytics and product use cases.
• Experience designing both batch and real-time data systems, including streaming or event-driven architectures.
• Leverage AI tools such as Claude and agentic workflows to accelerate architectural design, technical documentation, and platform delivery.
• Experience implementing data governance in practice, including lineage, data quality, access controls, and privacy/compliance frameworks.
• Strong communicator who can explain architecture decisions clearly to engineers, product managers, and leadership.
• Demonstrated ability to communicate complex technical concepts clearly and drive alignment across diverse stakeholders.
• Experience influencing technical direction across teams and aligning stakeholders such as AI Platform and other engineers around shared platform decisions.
• Comfort operating in a hands-on technical leadership role, balancing strategy with execution.
• Familiarity with AI-assisted development practices, using tools like Claude or agentic frameworks to accelerate design, documentation, and code review.

Preferred

• Experience at a high-growth consumer tech company, marketplace, fintech, or SaaS platform.
• Experience supporting experimentation, trust and safety, fraud, or ML/AI-driven systems.
• Familiarity with dbt, Looker, or similar semantic modeling and analytics tools.
• Experience with lakehouse technologies such as Delta Lake or Iceberg.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

We’re looking for an HRIS Senior Analyst to join our People team and be responsible for the health of our HRIS systems. You’ll go beyond day-to-day HR support to drive reporting, insights, and process improvements across the full employee lifecycle. You’ll be a key connector between People systems, compensation processes, and executive reporting — helping us make data-informed decisions and run efficiently at scale.

The Impact You’ll Make:

HR Systems & Data Integrity:

• Support the day-to-day administration of SuccessFactor and related HR technologies, ensuring reliable system performance and data accuracy, focusing on the employee central module. 
• Assist with system configuration, maintenance, bulk uploads, and testing activities to ensure HR tools effectively support business processes.
• Create and maintain standard and ad-hoc reports and dashboards, ensuring accurate and timely delivery of HR data and metrics, supporting quarterly reporting and ongoing people data requests for senior leadership.
• Support integrations between Successfactors and other business-critical systems (e.g., payroll, finance) by assisting with testing, monitoring, and issue resolution.
• Stay current with industry trends and emerging technologies in data analytics and operational systems management to drive innovation within the team.

Total Rewards:

• Support execution of compensation reviews (data prep, manager guides, audit)
• Maintain salary structures, career ladders, competencies, and variable pay programs, ensuring compensation structures are competitive, compliant, and clearly communicated
• Conduct internal compensation and equity benchmarking analyses
• Evaluate market trends and benchmarks to ensure the competitiveness and cost-effectiveness of compensation and benefits programs.
• Partner with Talent Acquisition to create competitive, market-aligned offers and internal mobility strategies..

Compliance and Documentation:

• Be a guardian of internal policies, ensuring compliance and clarity across the organization.
• Stay current with best practices, regulatory changes, and market trends to maintain a proactive approach.

People Support:

• Collaborate cross-functionally on initiatives spanning performance management, engagement, DEI, and internal communications—infusing each with a data-informed mindset.
• Participate in cross-functional projects with Legal, Finance, and IT (e.g., audits, new tools)
• Collaborate with the HRBP, TA, and L&D teams to document and improve people processes

What You’ll Bring to Us:

• +4 years in People Operations, HR Analytics, or a similar HR function
• • Experience with SAP SuccessFactors will be highly valued
• Strong analytical skills — experience with Excel/Google Sheets and HR dashboards (e.g., Looker, Tableau, or HRIS-native reporting)
• Excellent communication skills, including experience presenting to or preparing content for senior leadership
• Advanced English Skills
• Ability to work with confidential data responsibly
• Comfortable navigating ambiguity and building from scratch
• Familiarity with HRIS platforms, and multiple HR Systems (ATS, PS, Analytics, etc)
• Startup/scaling company experience - is a plus
• Knowledge of comp and equity plans  - is a plus
• Process mapping or automation tools  - is a plus

What We’ll Offer You:

• Unlimited Vacations
• Monthly Inflation updates
• Lunch Credit
• OSDE 410 as medical assurance 
• English lessons
• Gym coverage
• Internet coverage
• 1 extra paid month for primary & secondary birthing caregivers
• Learning & Development - Tools and Training 
• Hybrid & flexible working model - nice offices in Parque Chas with endless snacks & beverages
• High visibility roles with a tremendous amount of growth potential 
• Global team and cross-company collaboration unlike anywhere else!

About the Team:

Our Data Team is a highly dynamic and innovative group that excels in solving complex business challenges and propelling the growth of an enterprise through our analytical expertise. We provide crucial insights that empower individuals across the company to make better decisions, ultimately increasing efficiency. If you have a passion for shaping the future of an organization with your analytical skills, this role offers an exciting opportunity to fulfill your aspirations.

The role:

Analytics Engineers at CookUnity are data product owners who sit in a single team on a mission to minimize time spent by analysts and data scientists discovering, understanding and preparing data before launching into their work. Each analytics engineer has ownership and autonomy over a set of entities / tables in a domain, collaborating on a single data design from first principles that the team owns together. As their products mature they merchandise them as Tableau Connections, extracts into sheets or any other end point needed to achieve their mission.

Some analytics engineers have an interest in data infrastructure and integrations, others in bringing their data to life through interactive visualizations but all have the skills to work with unruly raw data, design analytics friendly data products (incl entities and flat tables) and build them to a production standard that the whole company can rely on. Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement and a sincere interest in investing in their own development.

Responsibilities:

• Own Core Data Products

  Design, build, and maintain dbt models in Snowflake that reflect key business logic and serve as reliable sources of truth. Define clear ownership, usage expectations, and roadmaps for your data products.

• Build Trustworthy, Scalable Models

  Develop models that are easy to use, tested, documented, and serve a wide range of stakeholders. Measure success through usage metrics, reduced support needs, and SLA coverage.

• Ensure Reliability and Observability

  Monitor pipelines, track schema changes, and implement testing and alerting to ensure consistent data quality and uptime.

• Drive Iteration Through Feedback

  Collect and act on feedback from users. Use metrics, interviews, and usage logs to continuously improve your data products and documentation.

• Advance AI Adoption in Analytics

  Champion the use of agentic and AI-assisted tools in data workflows. Lead pilots, measure impact, and scale successful practices across the team.

• Collaborate Cross-Functionally

  Work with Engineering, Product, and Ops to align on metrics, instrumentation, experimentation, and data needs.

• Mentor and Raise the Bar

  Review code, guide design decisions, and share knowledge to elevate the craft of Analytics Engineering within the team.

Qualifications:

• 4+ years of experience in Analytics Engineering, Data Engineering, or a similar role working with modern data stacks (dbt, Fivetran/Airbyte, Airflow, Snowflake/BigQuery, etc.)
• Deep understanding of data modeling principles (e.g. dimensional modeling, ELT best practices, testing strategies, etc.)
• Proficiency in SQL and version control (Git), with experience shipping production-quality data pipelines
• Experience collaborating closely with cross-functional stakeholders (Product, Engineering, Operations, etc.) to translate business needs into data solutions
• Comfort navigating ambiguity in fast-paced environments, with a strong sense of ownership and problem-solving mindset
• Familiarity with BI tools (e.g. Tableau, Hex, Looker) and a passion for enabling self-serve data culture
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a Senior Analytics Engineer to join our team and help shape the future of our data strategy. In this role, you will transform raw data into high-quality, self-serve data artifacts, applying a quantitative framework to solve complex business problems. You are someone who bridges the gap between raw engineering and business insights, ensuring our data ecosystem is scalable, trustworthy, and actionable.

Our ideal candidate is excited about data modeling, applied statistics, and building the foundation for a truly data-driven organization. At DEPT® Data & Engineering, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU'LL BRING:

• Design and build flexible, trustworthy data models using dbt and SQL. You will transform data from multiple sources into reusable, business-friendly datasets.
• Work directly with Product, Marketing, Sales, and Finance to define requirements, realign expectations when scope changes, and deliver technical solutions to business needs.
• Lead discovery on data tools and infrastructure. Participate in the technical design of schemas and pipelines, ensuring best practices for project architecture and QA.
• Build and maintain semantic layers and documentation to enable self-service analytics, helping data consumers find the right datasets to answer questions quickly.
• Proactively identify design flaws in data models and implement fixes. Manage the end-to-end ecosystem, including ETL/ELT, data governance, and performance optimization.
• Research solutions independently and the intuition to know when to ask for help versus when to innovate.
• Translate complex business questions into technical specs and present findings to non-technical stakeholders.
• Participate in system design and offering sound guidance on data risks and dependencies.

WHAT WE ARE LOOKING FOR:

• 4+ years of applied analytics/data engineering experience, preferably within a fast-paced tech company or consulting environment. 
• Expert-level SQL: Ability to write, troubleshoot, and optimize complex scripts for performance and cost.
  • • dbt (Data Build Tool): Proven experience using dbt to manage the transformation layer of the modern data stack.
    • Data Modeling: Strong expertise in industry concepts (Star Schema, Snowflake Schema) and building semantic layers.
• Cloud Warehousing: Familiarity with cloud platforms (GCP, AWS, Azure) and warehouses (Snowflake, BigQuery, or Redshift).
• BI & Visualization: Proficiency in defining data models and measures in tools like Looker or Tableau.

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

SEM Associates at Thomas Marketing Services execute and drive integrated search engine marketing strategies across both SEO and PPC for our B2B clients in the industrial and manufacturing space. This role owns the day-to-day execution and strategic optimization of client SEM programs, ensuring strong performance across organic and paid search channels.

Working alongside a team of SEM professionals, Client Services, and Production leadership, SEM Associates help deliver high-quality keyword research, technical SEO, on-page optimization, paid media campaign execution, and performance reporting. This role requires analytical thinking, comfort with marketing technology platforms, and the ability to manage multiple client programs while delivering actionable recommendations.

What you’ll be doing as our SEM Associate

● Execute integrated SEO and PPC strategies for assigned client accounts
● Conduct keyword research to identify high-opportunity keyword groups and optimization strategies
● Monitor client website technical performance and recommend improvements to support SEO best practices
● Implement on-page optimizations, including metadata updates, schema, and content publishing support
● Build, optimize, and maintain Google Ads and LinkedIn Ads campaigns to drive performance KPIs
● Audit existing paid media accounts and identify optimization opportunities
● Monitor web analytics dashboards and reporting tools; deliver regular insights and recommendations
● Assess user flow and conversion performance across SEO and PPC efforts
● Recommend budget, bidding, targeting, and ad creative optimizations to improve paid media results
● Communicate performance insights and strategic recommendations to internal teams and Client Services
● Occasionally join client calls to support strategic discussions and reinforce recommendations
● Stay up-to-date on SEM industry trends, platform updates, and algorithm changes

What you bring to our team

● 2+ years of experience in search marketing or digital marketing
● Working knowledge of both SEO and PPC best practices
● Experience executing Google Ads campaigns and SEO optimization initiatives
● Proficiency in Google Analytics (GA4), Google Tag Manager, Google Search Console, and Looker Studio; certifications preferred
● Strong analytical and written English communication skills
● Ability to manage multiple accounts and priorities in a fast-paced environment
● Curiosity and motivation to stay current with SEM trends and innovations

Some nice-to-have experience

● B2B and/or industrial/manufacturing industry knowledge
● Agency experience
● Experience with SEM tools such as SEMrush, Ahrefs, Screaming Frog, and more
● Experience with HubSpot and WordPress
● Google Ads and/or Google Analytics certifications

Please submit your resume in English.

#LI-Remote

We are looking for a Performance Marketing Specialist (Mobile). You will be the core driver of our mobile user acquisition (UA) strategy, focusing on data-driven execution and aggressive ROAS optimization. This is a hands-on role requiring technical analytics skills and deep operational knowledge of major advertising platforms.

WHAT YOU WILL DO

• Hands-on creation, optimization, and scaling of performance marketing campaigns across Google, Meta (Facebook/Instagram), Apple Search Ads (ASA), TikTok Ads and other channels.
• Relentlessly focus on maximizing Return on Ad Spend (ROAS) and achieving efficient mobile user acquisition targets.
• Serve as the expert user for our Mobile Measurement Partner, AppsFlyer, ensuring data integrity and accurate attribution.
• Manage the creative process by briefing design/creative teams and generating/validating effective ad copy and video scripts.
• Utilize expertise in AI tools for copy creation, campaign optimization, and strategic performance analysis.
• Deep understanding of mobile ad fraud (click injection, SDK spoofing) and prevention tools.
• Ability to self-serve data via SQL/Looker/Tableau to reduce dependency on data teams.

WHAT YOU WILL NEED

• 5+ years in Performance/Growth Marketing, specifically focused on Mobile App Growth (UA).
• Expert working knowledge of AppsFlyer.
• Proven success in ROAS-focused campaign optimization.
• Experience managing monthly budgets exceeding USD 300k.
• Extensive, hands-on experience managing Google, Meta, ASA, and TikTok campaigns.
• Fluency in professional and technical English.

NICE TO HAVE

• Experience in Fintech or Gaming industries.
• Familiarity with marketing products in the Cryptocurrency space.

COMPENSATION & PERKS

• Competitive full-time salary based on experience and meaningful equity in an industry-leading company
• This is a role based in our Palermo office, with a mandatory in-office presence four days per week.
• The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an exciting, emerging industry.
• Performance-based bonuses
• Apple equipment provided by the company
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.

Senior Data Engineer

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry’s core data pipelines and models used to understand key business performance.  Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do:

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
• Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• Bachelor’s degree required, or relevant experience  
• 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
•  Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
• Expert in ETL, data modeling and version control, dbt and GitHub preferred
• Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers 
• Knowledge and understanding of AWS data ecosystem
• Experience with data extraction tools (Estuary, Airbyte, etc.)
• Experience with programming language like Python, JavaScript
• Experience with Business Intelligence tools, Looker preferred
• Familiarity with data streaming technologies
• Demonstrated experience with continuous integration/continuous deployment tools
• Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
• Ability to work in a fast paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5         

#LI-Remote

We are hiring a Quality Manufacturing Engineer to support our rapid customer growth. Do you thrive on working on the edge? Do you want to transform an industry? This job is for you if your true strength is the ability to prioritize and communicate effectively to get you through even the most demanding of situations.

Work in a dynamic environment in which you’ll use your passion, engineering experience, and strong analytical skills to continuously improve customer and Xometry performance from concept to full implementation. The successful candidate will interact with Customers, DFM Engineering, Manufacturing, Quality Control, Case Management, and our Supply Chain (Partner) Network and must have the ability to effectively communicate in a fast paced, multidisciplinary team environment at all levels.

Day-to-Day Responsibilities:

A typical day will consist of, virtually or onsite, leading a myriad of engineering centric activities for internal and external customers.  Utilize your strengths as an advanced product quality planning engineer to improve our Quality Management System and related processes. Using your experience, you will work cross-functionally with internal and external customers teams to improve customer experience by preventing customer complaints and rejections. This person will work closely with engineering and lead a world class organization effectively managing a proactive system following AS9145/ IATF 16949 (ISO TS 16949) requirements through internal and external resources to ensure quick completion.

Qualifications and Experience:

• Minimum of 5 years’ experience in quality engineering
• Strong analytical & mechanical technical experience
• Effective verbal and written English communicator 
• Effective facilitator of cross functional team meetings
• Good time management / project management capabilities
• Ability to read and interpret 2D drawings/specifications
• Strong experience in Advanced Product Quality Planning (APQP)
• Minimum of 2 years of experience working with Customers and Suppliers
• Full understanding of IATF 16949 Automotive standard (or equivalent)

Preferred Qualifications:

• Familiar with Google Workspace, Looker, Salesforce 
• Familiar with regulatory audits

Please submit your resume in English.

#LI-Remote

We are looking for a strategic, highly analytical Senior Data Analyst to join our team as we transition our advertising model to a pay-for-performance structure. In this dual-impact role, you will serve as the critical bridge between Marketing, Sales, Yield, and Product teams.

You will be responsible for the full lifecycle of advertising data—from tracking how we acquire site traffic to optimizing how we monetize that traffic. Your work will directly influence our marketing spend, pricing strategies, and inventory management to maximize overall revenue and growth.

Key Responsibilities

• Performance & Attribution: Develop sophisticated attribution models and funnel reporting across paid and organic channels to determine ROI based on both short- and long-term outcomes.
• Yield Optimization: Build and maintain campaign management data and reporting to improve monetization effectiveness and ad performance.
• Analytics Engineering: Build and maintain robust data models Snowflake (using dbt, Airflow, or similar) that integrate data from Segment, Salesforce, HubSpot, Iterable, and ad servers.
• Strategic Insights: Analyze website traffic, customer conversion/retention, and inventory supply/demand to provide actionable insights for leadership.
• Testing & Experimentation: Analyze and support experiments and A/B tests for product, marketing campaigns and yield strategies, measuring impact and identifying statistically significant trends.
• Dashboarding: Create and manage comprehensive Looker dashboards that align marketing performance with revenue forecasting and inventory health.

Requirements

• Experience: 5+ years of experience with a proven track record of driving strategy in a marketplace, paid marketing, B2B SaaS, or AdTech environment.
• Education: Bachelor’s degree in a quantitative field (Statistics, Economics, Math, CS, Engineering). Master’s degree preferred.
• Technical Skills: Expert-level SQL and Python; hands-on experience with Snowflake and dbt (or similar data stack); Proficiency in Looker for data visualization.
• Domain Familiarity: Knowledge of lead funnels, marketing attribution, and ROAS; Experience with ad servers and configuration platforms (e.g., Kevel, Placements.io); Familiarity with event tracking (Segment, Google Analytics) and CRM data (Salesforce, HubSpot).
• Soft Skills: Exceptional communication skills with the ability to translate complex data into a narrative for non-technical stakeholders; a self-starter mindset with high attention to detail. Comfort with ambiguity, complexity, and identifying the best path forward with light guidance.

Please submit your resume in English.

#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