Job description
Join NexaAnalytics, a leading analytics firm, as a Senior Applied Statistician in Cambridge, MA. You will design and execute rigorous statistical analyses that inform product development, pricing, and strategic decisions across multiple industries.
In this role you will collaborate with data engineers, data scientists, and business stakeholders to translate complex data into actionable insights. You will contribute to statistical governance, reproducible research, and the advancement of our modeling capabilities.
We offer a collaborative, fast-paced environment with competitive compensation, comprehensive benefits, and opportunities for professional growth.
Responsibility
- Lead the design and execution of applied statistical analyses to inform product, pricing, and business strategy
- Develop and validate predictive and explanatory models (regression, time series, Bayesian methods) for forecasting and decision making
- Design and analyze experiments and observational studies, including A/B tests and causal inference
- Collaborate with data engineers to build scalable, reproducible modeling pipelines and ensure data quality
- Communicate insights clearly to non-technical stakeholders using data visualization and storytelling
- Mentor junior statisticians and contribute to statistical governance, code reviews, and best practices
- Stay current with methodological advances and ensure rigorous documentation
Qualification
- Master's or PhD in Statistics, Biostatistics, Mathematics, or a closely related field; or equivalent practical experience
- Minimum 5 years of applied statistics experience in industry or research settings
- Proficiency in statistical modeling techniques: linear and generalized linear models, time series, survival analysis, Bayesian methods
- Strong programming skills in R and/or Python and proficiency with SQL; experience with reproducible workflows (Git, notebooks)
- Hands-on experience with A/B testing, experimental design, and causal inference
- Excellent communication skills with the ability to present complex results to non-technical audiences
- Experience with data visualization tools (Tableau, Power BI) is a plus