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Senior Statistician - Data Analytics

Beacon Analytics Group
Boston
Salary Estimate
USD 120.000 – USD 180.000
Posting Time
5 Mei 2026
Deadline
5 Mei 2027

Job description

Beacon Analytics Group is hiring a Senior Statistician to lead statistical modeling initiatives and guide cross-functional teams in translating data into actionable business insights. This is a full-time role based in Boston, MA with a strong focus on impact and collaboration.

You will partner with product, marketing, and operations teams to design rigorous analyses, build robust models, and communicate findings clearly to non-technical stakeholders.

Responsibility

  • Lead development of advanced statistical models (regression, time-series, mixed effects) to answer high-impact business questions.
  • Design and execute experiments and observational studies ensuring validity and reproducibility.
  • Collaborate with data engineers to ensure data quality, integrity, and scalable analytics pipelines.
  • Translate complex analyses into clear recommendations and actionable dashboards for leadership.
  • Mentor junior analysts and contribute to statistical best practices and documentation.
  • Present methodological findings to cross-functional teams and influence data-driven decisions.
  • Stay current with statistical methods, tools, and industry trends to drive innovation.

Qualification

  • Master's degree or PhD in Statistics, Mathematics, Data Science, or a closely related field; PhD preferred.
  • 5+ years of hands-on statistical modeling and analytics experience in a business environment.
  • Proficiency in R and Python; strong SQL skills; experience with data visualization tools (Tableau, Power BI).
  • Deep knowledge of experimental design, hypothesis testing, regression, time-series, and Bayesian methods.
  • Ability to explain complex statistical concepts to non-technical stakeholders and executives.
  • Track record of delivering actionable insights that drive business outcomes; publications or conference presentations are a plus.
  • Strong communication, collaboration, and project management skills; ability to manage multiple projects concurrently.

Required Skills

Statistics R Python SQL experimental design Bayesian statistics time-series analysis data visualization machine learning SAS STATA

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