Role: Data Scientist (Corporate)

Full-remote role at YipitData.

Responsibilities / Key Missions

Design, validate, and deploy robust, scalable optimization frameworks and distribution models to preserve mathematical integrity across downstream metrics.
Execute complex statistical methodologies, evaluate trade-offs, and implement advanced statistical procedures.
Partner cross-functionally to convert ad hoc code into standardized, version-controlled templates and reusable logical libraries.

Experience: 4–5 years of professional data science experience; 2–3 years with an advanced degree.
Data: Direct experience with panel data or longitudinal consumer data.
Compute & Platforms: Experience with Databricks and scaling advanced compute workloads.
Math: Exceptional expertise modeling and optimizing statistical distributions.
Education: Bachelor’s in a highly quantitative field (e.g., Statistics, Economics, Physics, Mathematics, Engineering); Master’s strongly preferred.
Domain Experience: Hands-on experience analyzing receipt data or transaction-level consumer data.
Technical Stack: Advanced proficiency in Python or R plus expert-level SQL.
Cloud & ML Tooling: Familiarity with cloud platforms (AWS, Google Cloud) and ML frameworks (TensorFlow, PyTorch).
Data Privacy: Understanding of data privacy regulations and best practices.
Visualization & Version Control: Experience with Tableau or Power BI; familiarity with Git.

“Key Advantages (Big Plus)” is mentioned, but no specific items are provided in the posting.