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Data Science Manager

Location: San Diego, California
Date Posted: 10-20-2018
Currently looking for a Data Science Manager to fill an opening with a company located in San Diego, CA. Interested candidates must hold a Bachelor’s degree in a quantitative field (engineering, math, statistics, physics) with 10+ years of experience, at least 5+ of which were managing, leading and developing direct reports.
 
Responsibilities of the Data Science Manager:
  • 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 of the Data Science Manager:
  • 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 requirements of the Data Science Manager:
  • 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
 
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