Location: San Diego, CA

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• Salary up to $175,000  

• Comprehensive Benefit and Retirement Programs, flexible scheduling etc. 

• This is direct hire role.

• Relocation Assistance

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.
 

Responsibilities:

• 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