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Data Science 🏢 Full Time ⭐️ Verified

Senior Statistician - Boston, MA

Pinnacle Analytics, Inc.
Boston, MA
Salary Estimate
USD 110.000 – USD 140.000
Posting Time
5 Mei 2026
Deadline
5 Mei 2027

Job description

Join Pinnacle Analytics, a fast-growing data science consultancy, as a Senior Statistician based in Boston. You will lead complex statistical analyses, build reproducible models, and partner with cross-functional teams to drive data-driven decisions.

We value rigorous methods, clean code, and clear communication of results to stakeholders. If you thrive in a collaborative, high-impact environment, come shape the future of data analytics with us.

Responsibility

  • Lead end-to-end statistical analyses for client and internal projects, ensuring accuracy and reproducibility.
  • Design experiments and A/B tests, including power analysis and sample size calculations.
  • Develop and validate predictive models using R, Python, or SAS; assess model performance and calibration.
  • Implement robust data pipelines, documentation, and version-controlled workflows.
  • Translate complex statistical results into actionable business insights for non-technical stakeholders.
  • Mentor junior statisticians and contribute to team knowledge through code reviews and best practices.
  • Collaborate with data engineers to ensure data quality, governance, and reproducibility across platforms.
  • Stay current with methodological advances and contribute to thought leadership within the organization.

Qualification

  • Master's degree or PhD in Statistics, Mathematics, Data Science, or a related field.
  • 5+ years of experience in applied statistics, analytics, or data science.
  • Proficiency in R and Python; experience with SAS a plus.
  • Strong background in Bayesian methods, regression modeling, time-series, and experimental design.
  • Solid SQL skills and ability to work with large, diverse datasets.
  • Excellent data visualization skills (e.g., ggplot2, seaborn, Tableau) and storytelling ability.
  • Strong communication, collaboration, and stakeholder management skills.
  • Ability to work independently and thrive in a cross-functional team environment.

Required Skills

R Python SQL SAS Bayesian statistics time-series experimental design data visualization data wrangling machine learning foundations

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