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Data Science 🏢 Full Time ⭐️ Verified

Senior Applied Statistics Analyst

Horizon Analytics, Inc.
Boston, MA
Salary Estimate
USD 120.000 – USD 150.000
Posting Time
2 Mei 2026
Deadline
2 Mei 2027

Job description

Horizon Analytics, a leading data science consultancy, is seeking a Senior Applied Statistics Analyst to join our Boston team. You will design and implement statistical models, validate assumptions, and translate complex results into actionable business recommendations.

We partner with product, marketing, and operations teams to solve high-impact problems using rigorous methods, robust data, and clear storytelling. This role offers opportunities to influence strategy and collaborate with a world-class analytics group within a growing organization.

Responsibility

  • Lead development and validation of statistical models to answer strategic business questions across product, marketing, and operations.
  • Design and analyze experiments and A/B tests; interpret results and provide actionable recommendations.
  • Apply regression, time-series, multivariate, and Bayesian methods to large, business-relevant datasets.
  • Collaborate with data engineers to design data pipelines and ensure data quality and reproducibility.
  • Prepare clear data visualizations and executive-level reports for stakeholders.
  • Document methodologies, code, and model governance to support auditability and reuse.
  • Mentor junior analysts and contribute to the growth of the analytics community within the organization.
  • Translate statistical findings into strategic business insights with measurable impact.

Qualification

  • Master's or PhD in Statistics, Mathematics, Econometrics, or a closely related field.
  • 5+ years of applied statistics experience in industry or consulting.
  • Strong proficiency in R and Python for statistical modeling; experience with relevant libraries and packages.
  • Proficiency in SQL and data querying; ability to work with large, complex datasets.
  • Deep knowledge of experimental design, hypothesis testing, regression, time-series, and causal inference methods.
  • Excellent communication skills with the ability to explain complex results to non-technical stakeholders.
  • Experience with data visualization tools such as Tableau or Power BI is a plus.
  • Demonstrated problem-solving, project management, and documentation skills, with a collaborative mindset.

Required Skills

Applied statistics statistical modeling experimental design hypothesis testing regression analysis time-series analysis Bayesian methods R Python SQL data visualization machine learning

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