Assist on design of designing pricing programs deployment pipeline from modelling to product launch in coordination with the Deployments team
Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions
Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes
Customizes analytic solutions to specific stakeholder needs
Collaborates with other data science teams to successfully implement new pricing programs using Python packages as desired
Responsible for smaller components of projects of moderate-to-high complexity
Supports other property and specialty pricing programs including building models and rollouts with adjusting models due to state restrictions, building supporting documents and responding to DOI objections
Regularly engages with the data science community and participates in cross-functional working groups
Solid knowledge of predictive analytics techniques and statistical diagnostics of models
Advance knowledge of predictive toolset; expert resource for tool development
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 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree
California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco