
Job Overview
Location
US Remote
Job Type
Full-time
Category
Data Science
Date Posted
July 9, 2026
Full Job Description
đź“‹ Description
- • We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer analytics.
- • In this role, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture.
- • Whether your deep expertise lies in refining core statistical baselines, optimizing heavy computational models, or architecting scalable logic libraries, you will have a massive impact on how enterprise-level consumer insights are delivered.
- • As Our Corporate Data Scientist, You Will:
- • 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.
🎯 Requirements
- • Experience: 4–5 years of professional data science experience. 2-3 years of experience with an advanced degree.
- • Education: Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline). A Master’s degree is strongly preferred.
- • Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for statistical distributions.
- • Technical Stack: Advanced proficiency in Python or R and expert-level SQL.
🏖️ Benefits
- • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
- • The annual on-target earnings for this position are anticipated to be up to $170K + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About YipitData, Inc.
YipitData provides alternative data and market research to institutional investors, corporations and consultancies. By aggregating and analyzing billions of data points from e-commerce receipts, web traffic, app usage, pricing and other digital signals, the company delivers granular, real-time insights on company performance and industry trends. Clients use the platform to validate investment theses, monitor competitive dynamics and forecast revenue across sectors including consumer, technology, travel and marketplaces. Founded in 2013 and headquartered in New York City, YipitData serves hedge funds, private equity firms and Fortune 500 corporate strategy teams worldwide.
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