Job description
Join NovaStat Analytics as a Senior Statistician and advance data-driven decision making across product, marketing, and operations. You will design rigorous statistical approaches, collaborate with cross-functional teams, and communicate insights with clarity to stakeholders.
We value curiosity, rigorous methodology, and a collaborative mindset. This role offers a pathway to leadership, mentorship of junior analysts, and opportunities to publish and present findings.
Responsibility
- Design and implement statistical models and inference techniques to address business questions.
- Lead end-to-end analyses from data extraction to interpretation and presentation.
- Collaborate with data engineers, product managers, and marketers to define metrics and experiments.
- Develop and maintain reproducible analysis pipelines and dashboards.
- Perform rigorous hypothesis testing, causal inference, and model validation.
- Communicate complex results with clear visuals and storytelling to stakeholders.
- Mentor junior analysts and promote statistical best practices across teams.
- Ensure data privacy, ethics, and reproducibility in all analyses.
Qualification
- Master's degree in Statistics, Mathematics, Data Science, or a related field; PhD preferred.
- 3+ years of hands-on statistics, data analysis, or research experience in industry.
- Proficiency in Python (pandas, numpy, scipy, statsmodels) or R (dplyr, ggplot2); familiarity with SQL.
- Strong expertise in regression, time-series, Bayesian methods, and experimental design.
- Experience with A/B testing, causal inference, and model evaluation.
- Excellent communication skills and ability to present insights to non-technical stakeholders.
- Portfolio of analytics projects or publications is a plus.