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Senior Data Scientist, Growth Analytics

United States, San Francisco 160000.00 - 250000.00 USD / Year · Job Posted February 21, 2026
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Job Description

We’re seeking a senior Data Scientist to partner closely with the Marketing team to derive actionable data-driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep-dive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth.

Job Responsibility

  • Analyze data to assess performance and ROI of Marketing initiatives
  • Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
  • Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
  • Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
  • Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
  • Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
  • Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

Requirements

  • 6+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
  • 2+ years of experience in Marketing Analytics or a similar role
  • Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
  • Experience with communicating the results of analyses to executives and cross-functional teams to influence strategy
  • Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus

Nice to have

  • Experience with Google Analytics, Marketo, and Salesforce
  • Knowledge of online A/B testing and experimentation frameworks
  • Experience with scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions

What we offer

  • Offers Equity
  • Offers Bonus
  • medical, dental, and vision insurance
  • a 401(k) plan
  • short-term and long-term disability
  • basic life insurance
  • well-being benefits
  • 20 paid days of vacation
  • 12 paid days of company holidays

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