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Manager Data Science

Manager Data Science

US-CA-San Francisco
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Esurance created a centralized data sciences group (DSG) that is responsible for helping business units make objective decisions using science. The group also supports overall business operations by delivering critical analytical insights and in-depth consultative analyses. The DSG serves several key business areas within Esurance. The Manager, Data Science Group is responsible for end-to-end management of key stakeholders/engagements for the DSG.



  • Partners with business units, owning end-to-end analysis by utilizing advanced statistical and predictive modeling techniques to help drive fact based decisions at Esurance.
  • Utilizes and develop creative solutions to address business needs. Provides in-depth consulting, data mining, pattern and root cause analysis to identify and understand areas of opportunity. Develop and recommend business cases to address and maximize opportunities.
  • Manages R&D and maintenance of real-time decision systems maximizing conversion, LTV and alternate revenue streams
  • Supports all aspects of data science group's work aimed at delivering critical insights to improve Esurance's Customer Value Proposition while improving operating results.
  • Hires, trains, retains and challenges a team of best-in-class data science and analytics professionals; responsible for the employment, promotion, associate performance evaluation, training, motivation, counseling/mentoring, and discipline of assigned associates.



  • Proven success managing teams of predictive modelers and advanced statisticians.
  • Ability to foster a team of innovators who create analytic solutions.
  • Exceptional business acumen, with abilities to develop strategic and tactical recommendations across multiple areas of the business through research and collaboration.
  • Advanced knowledge of data science concepts and experience working with diverse large data sets.
  • Capability to design decision systems, including strong needs assessment and project management skills.
  • Detail-oriented with strong organizational and project management skills, able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently.
  • Excellent internal client (including Executive level) and external vendor management skills.
  • Excellent communication skills both oral and written with strong analytical and presentation skills including advanced fluency with Microsoft business applications (Word, Excel, Power Point).
  • Strong negotiation skills and ability to direct cross functional team members.
  • Advanced knowledge with Excel, SQL, R/S/SAS/SPSS, and other data modeling tools including data evaluation with the ability to extract and interpret data from various sources to offer creative solutions.

Experience / Education:

  • Masters Degree in Statistics, Business Administration, a related field or equivalent education/experience required.
  • 8+ years relevant quantitative and qualitative research and analytics experience.
  • Experience hiring, managing and motivating a team of data scientists preferred.
  • Experience with management consulting and/or financial services a plus.
  • Preference for experience with business rules engines (especially DROOLS) and other types of programming languages (Java, Python, C#, etc) and big data techniques (e.g. Hadoop/Hive).

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