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Senior Statistician – San Francisco, CA

PrimeAnalytics Solutions
San Francisco, CA
Salary Estimate
USD 120.000 – USD 180.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join PrimeAnalytics Solutions as a Senior Statistician in the heart of San Francisco. You will design and validate rigorous statistical models that inform product decisions, marketing strategies, and operational improvements. We value a methodical, impact-driven approach and clear communication with stakeholders.

As a key member of our analytics team, you will translate complex data into actionable insights, lead experimental design initiatives, and contribute to the firm’s data-driven culture. You will collaborate with data engineers, data scientists, and business leaders to shape strategic initiatives and measurable outcomes.

Responsibility

  • Lead development and validation of advanced statistical models to support product optimization, pricing, and customer analytics.
  • Collaborate with cross-functional teams (data engineers, data scientists, product managers) to translate business questions into statistical problems.
  • Design, execute, and evaluate A/B tests and other experimental frameworks; analyze results and provide actionable recommendations.
  • Implement predictive modeling (regression, time-series, survival, Bayesian) and monitor model performance in production.
  • Communicate complex results to non-technical stakeholders with clear visuals and executive summaries.
  • Mentor junior statisticians and contribute to a data-driven, collaborative culture.
  • Ensure data quality, reproducibility, and documentation through robust coding practices and version control.
  • Contribute to methodological knowledge sharing and ongoing research initiatives.

Qualification

  • Master's degree in Statistics, Biostatistics, Applied Mathematics, or a related field; PhD preferred for senior-level expectations.
  • 5+ years of professional experience in statistics, data science, or analytics.
  • Strong proficiency in R and/or Python; solid SQL experience; SAS is a plus.
  • Proven expertise in experimental design, hypothesis testing, and causal inference.
  • Experience with Bayesian methods and time-series modeling; ability to translate results into business impact.
  • Excellent communication and storytelling skills; ability to influence cross-functional teams.
  • Strong problem-solving skills, attention to detail, and collaborative mindset.

Required Skills

statistical modeling experimental design hypothesis testing Bayesian methods time-series R Python SQL SAS data visualization machine learning basics data wrangling

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