Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
About the role
- Analytics Lead directing data infrastructure and reporting capabilities at Affirm. Leading the design, modeling, and delivery of trusted people data insights.
Responsibilities
- Design and deliver relational and non-relational database models, data pipelines, reporting, and visualization solutions while supporting all phases of the analytics development life cycle (ADLC), including requirements gathering, design, development, testing, and deployment.
- Develop, maintain, and scale robust ETL/ELT pipelines across HR data sources (e.g., Workday, Greenhouse Recruiting, internal tools such as Arbor), ensuring reliability, performance, and extensibility.
- Architect and implement scalable data models optimized for analytical querying and long-term maintainability.
- Ensure data quality, integrity, and reliability across all data assets, introducing automation and best practices for monitoring and validation.
- Collaborate with People Analytics stakeholders to translate requirements into sound technical solutions and influence longer-term data architecture decisions.
- Manage and optimize cloud data warehouse infrastructure (e.g., Snowflake), including performance tuning, cost management, and secure access patterns.
- Leverage AI and LLMs to automate data quality checks, enhance metadata management, and extract insights from unstructured HR data.
- Stay current on technology best practices and advocate for engineering excellence across the People Analytics team.
- Own and manage data governance, security, privacy, and retention standards across all People Analytics systems.
Requirements
- 5+ years and expertise with dbt (Data Build Tool), SQL and Python required;
- Experience writing clean, computationally efficient code involving ETL processes and data manipulation via dbt, SQL, and Python.
- Demonstrated ability to design and build efficient, analytics-ready data models in dbt, transforming raw or unstructured data into well-defined marts.
- Comfort with production level IDEs (e.g., Cursor, Visual Studio) and Version Control (e.g., git, specifically GitHub).
- Experience using standard Python analysis packages (e.g., Pandas, NumPy).
- Experience with Snowflake or other cloud data warehouse.
- Experience with Sigma or other modern BI platform.
- Experience with Fivetran or similar integration platform for integrating structured, unstructured, or unclear data formats.
- Experience with Airflow or other orchestration platform.
- Experience with leveraging LLMs for data transformation or analysis; MLOps preferred.
- Experience with Data lakes and/or Iceberg table format preferred.
- Experience with Custom data application development using Python or similar language (i.e. Streamlit dashboards, Slackbots) preferred.
- Strong sense of ownership, intellectual curiosity, and the ability to think creatively and critically in a dynamic, fast-paced, and ambiguous environment.
- Demonstrated ability to provide technical leadership, influence cross-functional partners, and mentor other team members.
- Excellent communication skills and comfort translating technical topics for non-technical audiences.
Benefits
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
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