Job description
Join Crest Analytics as a Senior Statistician, where you will design and implement rigorous statistical models to drive strategic business decisions. This is a hands-on role blending theory and applied analytics in a fast-paced environment.
As a senior member of our analytics team, you will translate complex data into actionable insights and collaborate with cross-functional partners to shape product, marketing, and operations strategies.
We value curiosity, rigor, and clear communication. If you are passionate about statistics and ready to influence real-world decisions, we want to hear from you.
Responsibility
- Develop, validate, and interpret advanced statistical models to inform product, marketing, and operations strategies.
- Lead experimental design and A/B testing to quantify causal effects and improve key metrics.
- Collaborate with data engineers and data scientists to define data requirements and ensure data quality.
- Communicate complex statistical concepts to non-technical stakeholders and influence decisions.
- Mentor junior statisticians and contribute to the growth of the analytics practice.
- Produce clear documentation, reproducible analysis, and robust code in R and Python.
Qualification
- Master's or PhD in Statistics, Mathematics, or a related field.
- 5+ years of professional experience in statistical modeling or data science.
- Proficiency with R; strong Python (NumPy, SciPy, pandas) and SQL.
- Experience with SAS is a plus.
- Demonstrated experience with experimental design, A/B testing, and causal inference.
- Excellent communication and stakeholder management skills.
- Publication record or conference presentations is a plus.
- Ability to work independently and in cross-functional teams.