Location: San Diego, CA
Salary up to $175,000
Comprehensive Benefit and Retirement Programs, flexible scheduling etc.
This is direct hire role.
This is an opportunity to work in a large complex data environment with a variety of sources and technologies. You will be creating a real difference in making medication management safer, and efficient and cost effective. YOU will lead a team of data scientists that help deliver the next-generation analytics platform. You will work with data scientists, analysts, product management, software engineering, and clinical experts to take analytic innovation from the research lab to production applications.
Lead a team of data scientists and wranglers to build, maintain, and improve analytic decision systems and predictive models that drive significant customer impact
Work with business leaders to understand their domains, desired outcomes, and translate product requirements into analytic deliverables
Work with leadership to develop and execute on roadmap of desired analytic capabilities and product deliverables within committed timeframes
Explore opportunities from internal and external data sources to innovate on new products and/or enhance existing models
Present to senior management on business reviews, roadmap progress and innovation concepts
Lead evaluation of emerging analytics technologies and services for selection and proper fit with the organization
Drive an engaging, innovative and inclusive culture within your team
Evaluate and manage external data science partners, as needed, to deliver on business goals
Who Will Be a Great Fit?
Expert level experience with multiple statistical and data related programming languages such as Python, R, SAS, SQL
Track record of delivering and maintaining successful data science products into commercial products and achieving desired customer outcomes in a dynamic environment
5+ years managing managing Data Science Teams
Experience with various machine learning methods including classification/tree, SVM and ensemble approaches.
Ability to effectively switch communication styles from business to technical audiences, ranging from in depth analysis to concise, high level messaging
Understanding of software development and engineering practices including source control, CI/CD and DevOps
Experience with agile, lean practices and methodologies
Degree in a quantitative field (engineering, math, statistics, physics) with 10+ years of experience