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Senior Data Scientist

Skills
Analytical SkillsAnalyticsArtificial IntelligenceBusinessBusiness InsightsData ScienceForecasting
Role

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