Job description
QuantEdge Analytics is a leading provider of data-driven decision support for healthcare, finance, and consumer sectors. We are seeking a Senior Applied Statistician to lead advanced modeling initiatives, design experiments, and translate complex analytic insights into actionable business strategies. You will collaborate with cross-functional teams, mentor junior statisticians, and champion rigorous statistical practices.
This role blends methodological rigor with real-world impact, offering significant growth potential in a fast-paced, data-first environment.
Responsibility
- Lead the design and analysis of experiments and observational studies to inform product, pricing, and policy decisions.
- Develop and validate statistical models (regression, generalized linear models, Bayesian methods) to address business questions.
- Collaborate with data engineers and data scientists to define data requirements and ensure reproducibility.
- Mentor junior statisticians and communicate technical results to non-technical stakeholders.
- Evaluate model performance, perform sensitivity analyses, and manage model risk documentation.
- Translate analyses into clear, impactful insights and recommendations for leadership.
- Stay current with statistical methodology and industry best practices.
Qualification
- Master's or PhD in Statistics, Biostatistics, Mathematics, or a closely related field.
- 5+ years of applied statistics experience in industry or research.
- Proficiency with R and Python; experience with SAS or STATA is a plus.
- Strong experience with experimental design, regression analysis, survival analysis, and Bayesian methods.
- Excellent communication and stakeholder management skills.
- Ability to work independently and as part of a cross-functional team.
- Experience translating complex results into actionable business strategy.
- Strong problem-solving and critical-thinking abilities.