Data Scientist, Corporate

3 months ago
Full-time
Mid Level
Data Science and Analytics
YipitData

YipitData

YipitData specializes in market research for the disruptive economy by analyzing billions of data points daily to deliver accurate and timely insights on over 1,000 companies, aiding investors in making informed decisions and helping businesses enhance...

Professional Services
251-1K
Founded 2013
$492M raised

Description

  • Design, validate, and deploy scalable optimization frameworks and distribution models.
  • Explore and execute complex methodologies and evaluate methodological trade-offs.
  • Implement advanced statistical procedures for panel science and consumer analytics foundations.
  • Transition ad hoc code into standardized, version-controlled templates and logic libraries.
  • Partner cross-functionally to structure analytics for dashboards and LLM-driven applications.
  • Work with Data Engineering to optimize code performance and analytical workflows.
  • Help move statistical calculations from database queries into production-grade cloud compute architectures.

Requirements

  • 4–5 years of professional data science experience, or 2–3 years with an advanced degree.
  • Bachelor’s degree in a highly quantitative field such as Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline.
  • Master’s degree strongly preferred.
  • Exceptional expertise in working with, modeling, and optimizing statistical distributions.
  • Advanced proficiency in Python or R and expert-level SQL.
  • Direct experience with panel data or longitudinal consumer data is a big plus.
  • Hands-on experience analyzing receipt data or transaction-level consumer data is a big plus.
  • Experience working with Databricks and scaling advanced compute workloads is a big plus.
  • Ability to work East Coast hours in a remote-friendly U.S.-based role.
  • Candidates must not currently or in the future require visa sponsorship.

Benefits

  • Competitive annual on-target earnings up to $170K plus a bonus element.
  • Equity as part of the compensation package.
  • Flexible work hours and flexible vacation.
  • Generous 401(k) match.
  • Parental leave.
  • Team events.
  • Wellness budget.
  • Learning reimbursement.

Interested in this position?

Apply directly on the company website

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