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Statistics 🏢 Full Time ⭐️ Verified

Senior Statistician

ApexAnalytics, Inc.
Boston
Salary Estimate
USD 120.000 – USD 180.000
Posting Time
1 Mei 2026
Deadline
1 Mei 2027

Job description

Join ApexAnalytics, a fast-growing data science and statistics-focused firm in Boston. We are seeking a Senior Statistician to lead complex analyses, collaborate with cross-functional teams, and shape strategic decisions through rigorous statistical methods. The ideal candidate combines strong statistical theory with hands-on data skills and communicates insights to non-technical stakeholders.

Location: Boston, MA. This role offers hybrid flexibility, competitive compensation, and a pathway to leadership in a data-driven culture.

Responsibility

  • Design and lead end-to-end statistical analyses, experiments, and quasi-experiments to inform product and policy decisions.
  • Develop, validate, and deploy predictive models (regression, time-series, mixed-effects) and quantify uncertainty.
  • Collaborate with data engineers and analytics teams to ensure data quality and reproducibility.
  • Translate complex statistical results into clear, actionable insights and communicable recommendations for stakeholders.
  • Mentor junior statisticians and analysts; establish best practices for methodology and documentation.
  • Prepare dashboards and reports that highlight key metrics, trends, and risks to senior leadership.
  • Ensure compliance with statistical standards, documentation, and reproducible research practices.

Qualification

  • Master's degree in Statistics, Biostatistics, Mathematics, or a related field; PhD preferred.
  • 5+ years of applied statistics, data science, or analytics experience in industry or academia.
  • Proficiency in R and/or Python for statistical analysis; strong SQL skills.
  • Experience with experimental design, power analysis, and causal inference methods.
  • Strong knowledge of time-series analysis and forecasting.
  • Excellent written and verbal communication; ability to present complex results to non-technical audiences.
  • Experience with data visualization tools (Tableau, Power BI) and storytelling with data.
  • Collaborative mindset and ability to work across cross-functional teams.

Required Skills

Statistics R Python SQL Experimental Design Time Series Data Visualization Modeling Causal Inference

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