Senior Data Scientist
Skills
Analytical SkillsAnalyticsArtificial IntelligenceBusinessBusiness InsightsData ScienceForecasting
What the job involves
The main requirements, responsibilities and hiring steps.
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
Nice to have
- Master’s degree or PhD
- Cross-functional influence
- Strong business judgment
Day to day
- Lead complex analyses to answer high-impact business and product questions using strong statistical thinking modeling and sound analytical judgment
- Define clear methodologies for ambiguous problems identify the required data and deliver actionable insights that support decision-making
- Assess the business impact of product changes recommendation systems experiments and strategic initiatives through ROI forecasting and performance measurement
- Partner with Product Engineering and cross-functional stakeholders to influence priorities communicate findings clearly and improve analytics practices
- Mentor analysts through technical guidance collaboration and shared best practices that strengthen the quality of analytics across the team
Hiring process
- Live interviews
- Verbal offer
- Written agreement