Data Scientist, Corporate

The role

You will join the Panel Science team to build a statistically rigorous source of truth for enterprise consumer analytics. You will design statistical models and distribution frameworks, and work with Data Engineering to scale analytical workflows.

What you will do

• Design, validate and deploy scalable optimization frameworks and distribution models.
• Explore and execute complex methodologies and evaluate methodological trade-offs.
• Turn ad hoc code into standardized, version-controlled templates and logical libraries.
• Optimize code performance and scale analytical workflows with Data Engineering.
• Move complex statistical calculations into production-grade cloud compute architectures.

Required qualifications

• 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.
• Expert-level SQL.

Nice to have

• A Master's degree.
• 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.

Benefits

• Comprehensive benefits and perks.
• Flexible work hours.
• Flexible vacation.
• Generous 401K match.
• Parental leave.
• Team events.
• Wellness budget.
• Learning reimbursement.
• Equity.

Before you apply

• Visa sponsorship is not offered, and candidates who currently or in the future will require visa sponsorship cannot be considered.

About the company

YipitData is a market research and analytics firm for the disruptive economy, recently raising $475M from The Carlyle Group. It has offices in the US, APAC and India and was recognized by Inc. as a Best Workplace for three consecutive years.