Assistant Director, Data Science (STP)

Collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Responsible for major components of high complexity projects. Telecommuting permitted up to 60% Employer will accept a Bachelor's degree (or foreign equivalent) in STEM, Industrial Engineering or related field and 5 years of experience in the job offered or in an Assistant Director, Data Science (STP)-related occupation. Researching and adapting statistical and machine learning methods for business related modeling use. Utilizing predictive analytic techniques and toolsets and statistical diagnostics of models. Building predictive models using techniques including GLMs and machine learning models. Interrogation of machine learning models using contribution methods including Shapley values. Object Oriented Programing in python and ML Ops practices. Package development for predictive modeling or statistics including python packages or R packages. Demonstrated good communication skills to exchange ideas and convey complex information clearly and concisely. Demonstrated ability to quickly learn business and market context and learn subject experts' insights for modeling purposes. Building insurance pricing models. Deploying machine learning models for pricing. Domestic travel required up to 5%. Telecommuting permitted up to 60% Multiple Positions Available.