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Data Science 🏢 Full Time ⭐️ Verified

Senior Applied Statistician

Apex Quant Analytics, Inc.
Boston
Salary Estimate
USD 120.000 – USD 180.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join Apex Quant Analytics, a leading data science consultancy, as a Senior Applied Statistician in Boston. Use your expertise in statistics to design experiments, build forecasting and customer insight models, and translate complex findings into actionable business recommendations.

We offer a collaborative, fast-paced environment with access to large-scale datasets, modern tooling, and opportunities for professional growth.

Responsibility

  • Lead the development of applied statistical models to solve business problems across marketing, product, and operations.
  • Design and analyze experiments and A/B tests to drive rigorous decision-making.
  • Build, validate, and monitor predictive models; communicate performance and limitations to stakeholders.
  • Collaborate with data engineers to ensure data quality, reproducibility, and scalable analytics pipelines.
  • Translate complex statistical results into clear, actionable business insights for non-technical audiences.
  • Mentor junior analysts and statisticians; contribute to code reviews and knowledge-sharing sessions.
  • Maintain documentation, version control, and reproducible analysis workflows.

Qualification

  • MS in Statistics, Biostatistics, Mathematics, or related field; PhD preferred
  • 3+ years of applied statistics, data science, or analytics experience
  • Strong proficiency in R; Python (pandas, scikit-learn) considered a major plus
  • Experience with SQL and data wrangling in large datasets
  • Expertise in experimental design, causal inference, and model evaluation
  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders
  • Track record of delivering business impact through data-driven decisions

Required Skills

Applied Statistics Experimental Design Causal Inference R Python SQL Machine Learning Data Visualization Statistical Modeling A/B Testing

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