
Analyst, Data Science
- USA
- Permanent
- Full-time
- Applies various techniques including GLMs, machine learning, and causal inference techniques; Gains confidence in skill application using analytics and data science techniques to help build complex retention, conversion, and price elasticity models
- Establish modeling pipelines and standardized visuals to help support the identification, evaluation and decision-making process surrounding tactical pricing opportunities.
- Support the implementation of tactical pricing changes, gaining business experience with robust consultation and collaboration across the org regarding state-specific opportunities.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Generate data-driven answers to open-ended strategic questions related to tactical pricing and present out on recommendations to leadership.
- Regularly engages with the data science community and participates in cross-functional working groups.
- Distribution, Marketing & Experience Insights & Solutions
- Data Office
- Claims & Service, Insights & Solutions
- Knowledge & Development Solutions
- Data Science
- Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM); preferred skills of basic CART and GLM.
- Foundational knowledge of predictive analytics tools.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Master`s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelor`s degree and 3+ years of relevant experience.