Job description
NovaStat Analytics is a leading data science and analytics firm focused on delivering rigorous, impactful insights for Fortune 500 clients. We are seeking a Senior Statistician to join our expanding statistics practice in San Francisco. This role blends advanced statistical modeling with real-world business impact and requires a collaborative, results-oriented mindset.
As a Senior Statistician, you will design and execute high-quality analyses, translate complex results into actionable recommendations, and mentor junior team members. You will work with cross-functional teams to shape experimental design, measurement, and inference strategies that drive product and business decisions.
Why you will love this role:
- Exposure to a diverse set of data problems across marketing, product, and operations.
- Opportunity to lead end-to-end analyses from data wrangling to storytelling with stakeholders.
- Collaborative, growth-focused culture with a strong emphasis on learning and innovation.
We are an equal opportunity employer and value diversity in our team. If you are passionate about rigorous statistics and practical impact, we would love to hear from you.
Responsibility
- Lead complex statistical analyses (A/B tests, quasi-experiments, regression modeling, time-series) to inform product strategy and business decisions.
- Design robust experiments and observational studies, including power calculations and sample size planning.
- Develop and validate predictive models, with a focus on generalizability and reproducibility.
- Collaborate with data engineers and data scientists to implement scalable analytics solutions in production environments.
- Communicate insights to non-technical stakeholders through clear data storytelling and visuals.
- Mentor junior statisticians and contribute to the growth of the statistics practice.
- Contribute to best-practice guidelines for statistical methods, reporting, and documentation.
Qualification
- Master’s or PhD in Statistics, Econometrics, Data Science, or a related quantitative field.
- 5+ years of applied statistical experience in industry or research settings.
- Strong expertise in R and Python, with experience in SAS or SQL as a plus.
- Proven track record with experimental design, causal inference, Bayesian methods, and machine learning basics.
- Excellent communication skills and ability to translate complex results into actionable business recommendations.
- Experience leading projects and mentoring junior team members.
- Strong problem-solving skills, attention to detail, and ability to work autonomously in a fast-paced environment.