Remote opportunity at
YipitDataData Scientist, Corporate
YipitData is hiring a Corporate Data Scientist for its Panel Science team. The team aims to build a mathematically rigorous foundation for how enterprises measure consumers,…
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About This Role
YipitData is hiring a Corporate Data Scientist for its Panel Science team. The team aims to build a mathematically rigorous foundation for how enterprises measure consumers, which the company calls its single source of truth. The role sits where statistical modeling, data infrastructure and analytical product design meet, and the person can focus on refining core statistical baselines, tuning heavy computational models, or building reusable logic libraries. YipitData is an…
Job Description
YipitData is hiring a Corporate Data Scientist for its Panel Science team. The team aims to build a mathematically rigorous foundation for how enterprises measure consumers, which the company calls its single source of truth. The role sits where statistical modeling, data infrastructure and analytical product design meet, and the person can focus on refining core statistical baselines, tuning heavy computational models, or building reusable logic libraries.
YipitData is an analytics-driven research company serving the disruptive economy. It was recently funded with $475 million from The Carlyle Group, and its platform processes billions of alternative data points spanning payments, ridesharing, e-commerce, cloud, AI and software. Locations span the US, Asia-Pacific and India, and the culture is built around openness, accountability and ongoing skill development.
The data scientist designs and validates optimization frameworks and distribution models that keep downstream metrics mathematically sound, and weighs methodological trade-offs. They also turn one-off code into standard, version-tracked templates and logic libraries that power dashboards and LLM-driven applications. The role works closely with Data Engineering to shift heavier math out of ordinary database queries and into production cloud compute. The job asks for roughly four to five years in professional data science work, plus two to three years alongside an advanced degree, and a quantitative bachelor's degree, with a master's strongly preferred. A strong command of statistical distributions, advanced Python or R, and expert SQL are required. Panel or longitudinal consumer data, transaction-level receipt data, or Databricks experience is a major advantage. The role is remote-friendly from New York City, an office hub or anywhere in the US, and expects East Coast working hours. Candidates who will need visa sponsorship now or later cannot be considered.
Responsibilities
- Design, validate and roll out optimization frameworks and distribution models that keep downstream metrics mathematically sound
- Work through demanding methods, weigh trade-offs between approaches, and put advanced statistics into practice
- Convert one-off code into standard, version-tracked templates and logic libraries
- Structure analytics so they can power interactive dashboards and LLM-driven applications
- Team with engineers on the data side to speed up code and shift heavy calculations onto production cloud compute
Requirements
- Roughly four to five years working as a professional data scientist, with two to three years alongside an advanced degree
- An undergraduate degree in a quantitative discipline such as statistics, economics, physics, mathematics or engineering
- Top-tier command of fitting and tuning statistical distributions
- Strong working knowledge of Python or R, plus SQL at an expert level
Qualifications
- A master's degree, which is strongly preferred
- Hands-on time with panel-style or longitudinal consumer datasets
- Hands-on experience analyzing receipt or transaction-level consumer data
- Databricks know-how and experience scaling heavy compute jobs
Core Skills
Benefits
- Equity as part of the compensation package
- Flexible work hours and flexible vacation
- 401(k) with a generous match, parental leave and team events
- Wellness budget and learning reimbursement
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the role remote?
The posting says the job can be done remotely anywhere in the US, or from New York City or one of the company's US office hubs.
What is the pay?
The posting gives on-target earnings of up to $170,000 plus a bonus element, and says the package includes equity. Final pay depends on experience, skills and internal team benchmarks.
What working hours are expected?
The posting expects East Coast work hours.
Does the company sponsor visas?
No. The posting says candidates who will need sponsorship now or later cannot be considered.
Sample Interview Questions
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