Job description
NovaStat Analytics is seeking a Senior Applied Statistician to join our growing data science team in San Francisco. You will lead quantitative analyses, build models, and influence product strategy across multiple lines of business. You will collaborate with data engineers, data scientists, and product teams to transform data into actionable insights.
In this role, you will own end-to-end analytics projectsāfrom problem framing and data extraction to model development, interpretation, and stakeholder communication. We value curiosity, rigorous methodology, and a bias towards action.
We offer competitive compensation, flexible work arrangements, and opportunities for professional growth in a fast-paced, data-driven environment.
Responsibility
- Design, implement, and interpret advanced statistical analyses to guide product, marketing, and operations decisions.
- Build and validate predictive models (regression, time-series, survival, Bayesian) and quantify uncertainty.
- Lead experimental design and A/B testing, including sample size calculations and power analyses.
- Collaborate with data engineers to ensure robust data pipelines and reproducible analytics workflows.
- Translate complex statistical findings into actionable insights and deliver stakeholder-ready reports and dashboards.
- Mentor junior analysts and contribute to best-practice documentation and code reviews.
- Develop and maintain reproducible analytics tooling using R, Python, SQL, and version control.
- Communicate methodology, assumptions, limitations, and results to non-technical audiences.
Qualification
- PhD or MS in statistics, biostatistics, econometrics, or a related field; equivalent practical experience accepted.
- 5+ years of applied statistics experience in industry; technology or data-driven product experience preferred.
- Strong proficiency in R and Python; experience with Stan or PyMC for Bayesian modeling.
- Expertise in regression, time-series, experimental design, causal inference, and model validation.
- Proficient SQL skills and experience with data visualization tools (Tableau, Power BI) is a plus.
- Excellent communication, storytelling, and collaboration skills; ability to explain complex methods to non-technical stakeholders.
- Experience with cloud data platforms and reproducible research workflows (Git, containerization) preferred.
- Track record of impactful projects and publications or demonstrable business outcomes.