Description
We are looking for a Data Scientist to join our core Panel Science team. As a Data Scientist, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture.
Responsibilities:
- Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
- Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
- Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries.
- Partner closely with Data Engineering to optimize code performance and scale analytical workflows.
Requirements:
- 4–5 years of professional data science experience.
- Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline).
- Exceptional expertise in working with, modeling, and optimizing for statistical distributions.
- Advanced proficiency in Python or R and expert-level SQL.
Nice to Have:
- Direct experience working with panel data or longitudinal consumer data.
- Hands-on experience analyzing receipt data or transaction-level consumer data.
- Experience working with Databricks and scaling advanced compute workloads.
What We Offer:
- Competitive salary up to $170K + bonus element.
- Comprehensive benefits, perks, and equity.
- Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/yipitdata/jobs/8045383