Job description
Join NovaStat Analytics as a Senior Applied Statistician in New York City. You will apply rigorous statistical methods to real-world business problems, guiding product, pricing, and strategy with data-driven insights. This role blends theory and practice in a fast-paced analytics environment, requiring strong communication skills to translate results into actionable recommendations.
Responsibility
- Lead the design, execution, and analysis of experiments and observational studies to inform product and strategy.
- Develop, validate, and maintain predictive models using R, Python, and SQL.
- Apply advanced statistical methods (regression, generalized linear models, Bayesian methods, survival analysis) to complex datasets.
- Collaborate with product, marketing, and data engineering teams to translate findings into actionable recommendations.
- Communicate results through clear visuals and executive summaries for non-technical stakeholders.
- Ensure reproducible analyses with well-documented code and version control (Git).
- Mentor junior statisticians and contribute to analytics best practices.
Qualification
- Master's or PhD in Statistics, Biostatistics, Econometrics, or a closely related field.
- 5+ years of applied statistics experience in industry or academia.
- Strong proficiency in R and Python; experience with SAS is a plus.
- Experience designing and analyzing A/B tests and experiments.
- Expertise in machine-learning methods and predictive modeling; ability to translate models into business value.
- Solid knowledge of SQL and data wrangling; experience with data visualization tools (Tableau, Power BI, or similar).
- Excellent communication, collaboration, and problem-solving skills.
- Ability to work independently and manage multiple projects in a fast-paced environment.