About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Use SQL, Python (or similar) and statistical methods to investigate product usage, generate insights, and support product decisions.
• Design, run, and interpret A/B tests and causal analyses to validate new product ideas and monitor live experiments.
• Define and maintain metrics and dashboards that inform goal-setting and product trade-offs.
• Evaluate AI/LLM-driven features and collaborate on frameworks for measuring model and agentic product performance.
• Prototype analytics solutions and partner with Engineering and Data teams to operationalize scalable tools and dashboards.
• Communicate analytic results clearly—produce analysis docs and data-centric stories that drive stakeholder decisions.
• Embed data science best practices across the analytics lifecycle and provide consultative support to internal partners.

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Qualifications

• Basic requirements:

  • Bachelor's degree in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or a related field.
  • 1+ year of professional experience in data science, analytics, or equivalent experience (managing structured/unstructured data, statistical analysis, reporting).
  • Practical experience with at least one programming language (Python, R, Scala/Spark, Java, etc.) and strong SQL skills.
  • Foundational knowledge of experimentation, statistics, and causal inference.
  • Clear written communication and structured thinking.

• Preferred:

  • Master’s or Doctorate in a relevant quantitative field.
  • Experience with experimentation platforms, causal inference methods, and product analytics.
  • Familiarity evaluating AI/LLM features or working with model performance metrics.
  • Strong data storytelling and cross-functional collaboration skills.

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Skills

• Data analysis & visualization (SQL, Python/R)
• Experiment design (A/B testing) and causal inference
• Data storytelling and written communication
• Metrics design and dashboarding (product analytics)
• Familiarity with AI/LLM evaluation and model performance assessment

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Workplace & Location

• This role is based in Mountain View, CA and follows a hybrid work model; work will be performed both remotely and on-site at the confidential client’s Mountain View location as determined by team needs.
• Reasonable accommodations are available for applicants and employees as required by law.

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Compensation & Benefits

• Salary range (posted): $101,000 — $167,000 per year. Actual pay is based on candidate experience, skills, and the specific work location. Total compensation may also include bonus, equity, and benefits.
• This posting complies with applicable pay transparency disclosure requirements for the job location.

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Why Join

• Early-career growth and strong mentorship from senior Data Science ICs.
• Opportunity to work on large-scale product analytics and AI-powered product experiences.
• Cross-functional exposure with Product, Engineering, and AI teams—impact that reaches millions of members.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.