Sr. Manager Data Science - San Diego, CA

Seeking a Senior Manager of Data Science who has passion for delivering analytic products that advance the world of health. You will be responsible for leading a team of data scientists that help deliver our 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.

We have a wealth of data assets across the healthcare continuum that will allow you to deliver impactful outcomes to our customers.  You will 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.

The selected candidate will bring new ideas, creativity and perspectives to our organization. You should bring a passion for working with data, people and technology.  You will lead by example, adopting a "whatever it takes" approach to get the job done, while nurturing a sense of camaraderie, success and appreciation among your team.

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

Requirements:

  • 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, leading and developing direct reports

  • Degree in a quantitative field (engineering, math, statistics, physics) with 10+ years of experience

  • Expert level experience with multiple statistical and data related programming languages such as Python, R, SAS, SQL

  • 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

  • Ability to work effectively in cross-functional groups. Must be able to excel in a fast-paced environment with multiple priorities.

Preferred skills

  • Experience with medical software such as Hospital Information Systems, Medical Record Systems or Lab Information Systems

  • Knowledge of Hadoop, Cloud and other modern data architecture

Nice-to-Haves:
• Experience with medical software such as Hospital Information Systems, Medical Record Systems or Lab Information Systems
• Knowledge of Hadoop, Cloud and other modern data architectures