Manager of Data Science

Boston, MA

Posted: 10/30/2018 Job Number: 11907450
Seeking a Manager of Data Science with analytical rigor and business acumen with a desire to build the foundation for a successful career in Data Science. The primary role will be to leverage and expand an analytics database and to support data mining and statistical predictive modeling projects that lead to new rating structures, new underwriting programs, and support the introduction of new product features that increase profitability, yield, and growth.

Responsibilities
  • Take a leadership role in implementing the strategic direction for the company' s analytics
  • Develop state of the art transformative pricing, underwriting, demand, and claims models to increase profitability, yield, and growth
  • Manage 1 direct report, yet able to build a team if necessary
  • Foster relationships with internal departments as well as parent company' s Data Science & Analytics Lab and Strategic Data & Analytics groups to identify and explore new sources of data that predict results
  • Identify and explore new external sources of data and develop plans to acquire and interpret results
  • Incorporate text mining in modeling and analytic processes by leveraging a large collection of unstructured data
  • Determine how image recognition techniques and artificial intelligence can be utilized to further the core business
  • Supervise the use of exploratory tabular analysis and statistical methods such as classification analysis in support of ongoing projects
  • Oversee the development of multivariate predictive models
  • Apply statistical and analytical methods such as generalized linear modeling (GLM), data mining techniques such as gradient boosted machines, and other non-linear methods
  • Monitor results of changes through reports or dashboards often leveraging APIs
  • Clearly communicate complex findings to colleagues and external customers, influencing outcomes
Requirements
  • Excellent programming skills and expertise in data query tools such as SQL
  • Expert level of competence in statistical software languages/packages such as R, Python, DataRobot, Tableau, Mathematica, H2O, Spark, and/or Cloud Computing Environments (AWS, Azure, etc.)
  • Knowledge of deep learning neural networks and experience in frameworks such as TensorFlow, Keras, Caffe, PyTorch, etc. Preferred
  • Skilled in critical thinking, analysis, and determining strategic direction
  • Ability to drive both individual and team projects to completion including during the planning and implementation phases
  • Capable of influencing senior managers through outstanding presentations
  • 7+ years business experience in statistical modeling, data mining, machine learning, artificial intelligence, and applying data base queries
  • Experience managing a team preferred
  • Graduate degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Physics, or Engineering preferred
  • A doctoral degree and/or some actuarial exams are preferred

Rachel Wasserman
Vice President of Marketing Recruitment

Executive recruiting in the marketing industry since 1999, Rachel specializes in the recruitment of direct/database/digital/analytical/CRM/e-commerce marketing professionals nationwide. In her previous role as managing director, Rachel built a team of three recruiters to meet the demands of her thriving clientele. Rachel has placed hundreds of marketing professionals across the country in major corporations, retailers, e-tailers, agencies, suppliers, consulting firms and startup companies, ranging from C-Level to individual contributors. Rachel has also worked in marketing management account services at UPSHOT (clients included: Coca-Cola Brands, Jim Beam Brands, Procter & Gamble and Sony Electronics) and BBDO Atlanta (client: Delta Airlines). Rachel holds a B.A. in journalism from The Ohio State University.

  • Fun facts: Loves to travel, hike and proud mom of two! 
  • Won my honeymoon to French Polynesia
  • Backpacked through Europe for seven weeks
  • Visited 20 countries so far…
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