Note: The job is a remote job and is open to candidates in USA. YipitData is the leading market research and analytics firm for the disruptive economy, seeking a Data Scientist to join their core Panel Science team. The role involves building a rigorous source of truth for enterprise consumer analytics and working with complex data infrastructures and statistical modeling.
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. You will ensure analytics are structured cleanly to power diverse product surfaces, ranging from interactive dashboards to LLM-driven applications
- Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures
Skills
- 4-5 years of professional data science experience
- 2-3 years of experience with an advanced degree
- 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
- Expert-level SQL
- Master's degree is strongly preferred
- 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
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
Company Overview