Data Scientist, Corporate

Summary

YipitData is a market research and analytics firm that transforms alternative data into strategic intelligence for enterprise customers. The Corporate Data Scientist will join the Panel Science team to develop rigorous statistical models, methodologies, analytical logic, and scalable infrastructure for enterprise consumer analytics.

Responsibilities

• Statistical Modeling & Distribution Optimization: Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics
• Methodology & Panel Foundations: Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures
• Analytical Logic & Governance: 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
• Infrastructure & Performance Optimization: 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** and expert-level **SQL**
• 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
• We expect East Coast work hours
• This role may be performed fully remotely within the United States
• Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship
• A **Master's degree is strongly preferred**

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** and expert-level **SQL**
• 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
• We expect East Coast work hours
• This role may be performed fully remotely within the United States
• Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship

Nice to Haves

• A **Master's degree is strongly preferred**

Benefits

• Flexible work hours
• Flexible vacation
• A generous 401K match
• Parental leave
• Team events
• Wellness budget
• Learning reimbursement
• Bonus element
• Equity