Senior Data Scientist
About the role
The Senior Data Scientist will lead the analysis of complex business and product challenges, using strong statistical thinking, modeling, and sound analytical judgment. They will assess the business impact of product changes, recommendation systems, experiments, and other strategic initiatives, including ROI, forecasting, and performance measurement. They will also partner closely with Machine Learning Engineers, Product leaders, and other cross-functional stakeholders to shape priorities, influence decision-making, and communicate findings clearly and compellingly. Additionally, they will mentor other analysts through technical guidance, collaboration, and shared best practices that raise the quality of analytics across the team.
Responsibilities
- Lead complex analyses that answer high-impact business and product questions, using strong statistical thinking, modeling, and sound analytical judgment.
- Create clear approaches to ambiguous problems by defining the right methodology, identifying the required data, and delivering actionable insights that drive decision-making.
- Assess the business impact of product changes, recommendation systems, experiments, and other strategic initiatives, including ROI, forecasting, and performance measurement.
- Work closely with Product, Engineering, and other cross-functional partners to shape priorities, influence decision-making, and communicate findings clearly and compellingly.
- Mentor other analysts through technical guidance, collaboration, and shared best practices that raise the quality of analytics across the team.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a similar field.
- 7+ years of experience using analytics to solve business or product problems.
- Strong statistical analysis skills and hands-on experience with Python and SQL.
- Experience with experimentation, analytical methods, and data-driven problem solving.
- Ability to break down complex questions and communicate insights clearly to technical and non-technical stakeholders.
Skills
- Master’s degree or PhD in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a similar field.
- Experience in influencing cross-functional decisions.
- Strong business judgment and the ability to connect analytical work to company goals.
Benefits
- Fair and competitive base salary.
- Full Remote.
- Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company.
- Long & Short term disability insurance.
- Unlimited PTO.
- Annual Year-End Company Closure.
- Optional 401k with 5% matching.
- 12 Paid Holidays.
- Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite.
- Employee Assistance and Employee Recognition Programs.
- And much more!
Pay
The Base Salary range for this position is $207,000 - $250,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate’s specific pay will be determined on a case-by-case basis and may vary based on the candidate’s job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.