Job description
Join Apex Analytics Partners, a premier data science and statistics consultancy, as an Applied Statistics Lead. You will translate complex data into actionable insights for product, policy, and business strategy. You will lead statistical analyses, design experiments, and mentor a high-performing analytics team in a fast-paced, impact-driven environment.
We value rigorous methodology, clear communication, and collaborative problem solving. If you are passionate about advancing applied statistics in real-world settings and delivering measurable outcomes, this is your role.
What you’ll do is impactful: you’ll design studies, build robust models, and present findings to cross-functional partners to drive decisions that move metrics and strategic priorities.
Responsibility
- Design and execute rigorous statistical analyses to inform product development, marketing experiments, and policy decisions.
- Collaborate with data scientists, engineers, and stakeholders to define analysis plans, data requirements, and success criteria.
- Lead the development and validation of predictive models using both Bayesian and frequentist approaches.
- Oversee experimental design, A/B/n testing, power calculations, and sample size planning to ensure reliable results.
- Develop and maintain reproducible workflows, including code, documentation, and version control practices.
- Communicate complex findings with clear visuals and executive summaries tailored to non-technical audiences.
- Mentor and coach junior statisticians, fostering a culture of rigorous analysis and continuous learning.
Qualification
- MS or PhD in Statistics, Biostatistics, Applied Mathematics, or a closely related field.
- 5+ years of applied statistics experience in industry, research, or consulting.
- Proficiency in R and Python; experience with SAS or SQL is a plus.
- Strong knowledge of experimental design, hypothesis testing, regression, and multivariate methods.
- Experience with Bayesian methods and probabilistic programming (e.g., Stan, PyMC) is highly desirable.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to translate complex results into actionable business recommendations and robust dashboards/visualizations.