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Data Science 🏢 Full Time ⭐️ Verified

Senior Statistician

QuantNova Analytics
Boston, MA
Salary Estimate
USD 110.000 – USD 150.000
Posting Time
6 Mei 2026
Deadline
6 Mei 2027

Job description

QuantNova Analytics is seeking a Senior Statistician to join our fast-paced analytics team in Boston. You will apply advanced statistical methods to solve real-world problems, design experiments, and translate data into actionable insights for product, research, and strategy.

We value rigorous methodology, clear communication, and collaboration with cross-functional partners. This role offers mentorship, growth, and the opportunity to influence critical business decisions.

Responsibility

  • Lead end-to-end statistical analyses for product and research initiatives, including experimental design and causal inference.
  • Develop and validate predictive models, simulations, and hypothesis tests to inform decisions.
  • Collaborate with data engineering to ensure data quality and reproducibility of analyses.
  • Communicate complex statistical findings to non-technical stakeholders through clear dashboards and presentations.
  • Mentor junior analysts and contribute to a culture of rigorous statistical thinking.
  • Design and oversee A/B/n experiments, including power calculations and sample size planning.
  • Document methodologies and maintain reproducible analysis pipelines.

Qualification

  • Master's or PhD in Statistics, Biostatistics, Data Science, or a related field.
  • 5+ years of applied statistics experience in tech, healthcare, or finance.
  • Strong knowledge of experimental design, Bayesian and frequentist methods, and predictive modeling.
  • Proficiency in R and Python; solid SQL; experience with statistical software (e.g., Stan, PyMC) is a plus.
  • Excellent communication skills; ability to present complex results to stakeholders at all levels.
  • Experience with data visualization tools and creating actionable insights from data.
  • Strong problem-solving, project management, and collaboration skills.

Required Skills

R Python SQL Stan PyMC machine learning experimental design Bayesian statistics hypothesis testing data visualization data wrangling communication

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