Data Scientist, Corporate

Summary

YipitData is the leading market research and analytics firm for the disruptive economy, and they are seeking a Data Scientist to join their core Panel Science team. The role involves building a mathematically rigorous source of truth for enterprise consumer analytics and optimizing complex data infrastructures.

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

Qualifications

Must Haves

• 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

Nice to Haves

• 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