Data Scientist, Corporate

8 hours, 52 minutes 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
501-1000
Founded 2013
$492M raised

Description

  • Design, validate, and deploy scalable optimization frameworks and statistical distribution models.
  • Develop and evaluate complex methodologies and implement advanced statistical procedures.
  • Refine core statistical baselines and analytical logic for consumer analytics products.
  • Partner cross-functionally to convert ad hoc code into standardized, version-controlled templates and logic libraries.
  • Ensure analytical outputs support product surfaces including interactive dashboards and LLM-driven applications.
  • Collaborate with Data Engineering to improve code performance and scale analytical workflows.
  • Transition complex statistical calculations into efficient, 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 quantitative field such as Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline.
  • Master’s degree in a quantitative field (strongly preferred).
  • Expertise in modeling and optimizing statistical distributions.
  • Advanced proficiency in Python or R.
  • Expert-level SQL skills.
  • Experience with panel data or longitudinal consumer data (preferred).
  • Experience analyzing receipt or transaction-level consumer data (preferred).
  • Experience with Databricks and scaling advanced compute workloads (preferred).
  • Ability to work East Coast hours; must be authorized to work in the U.S. without current or future visa sponsorship.

Benefits

  • Annual on-target earnings up to $170,000 plus bonus eligibility.
  • Equity as part of the compensation package.
  • Flexible work hours and fully remote work within the United States.
  • Flexible vacation policy.
  • Generous 401(k) match and parental leave.
  • Wellness budget, team events, and learning reimbursement.

Interested in this position?

Apply directly on the company website

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