Director, Data Science Job Description

Data Science Director establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Being a Data Science Director determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. May require extensive knowledge of big data tools like Hadoop, HBase, Hive, Zookeeper, etc. Requires a bachelor’s degree in related area. Additionally, Data Science Director typically reports to top management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function.

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Director, Data Science Job Description Template

Our company is looking for a Director, Data Science to join our team.

Responsibilities:

  • Help with process, methods, and education;
  • Define creative solutions to business problems using advanced algorithms and models. Build and manage a high performing team;
  • Work to instill data best practices around the organization;
  • Start and grow a high impact team of Data Scientists;
  • Apply modern machine learning methods to problems in reserving, marketing, and conversion;
  • Evolve iterative development process to drive timely Data Science outcomes and reinforce the test-and-learn culture;
  • Identify problem areas and develop plans to overcome any issues to ensure that the project of it is achievable;
  • Improve existing processes across the data science and actuarial organizations;
  • Contribute to the development of the data science prototype framework;
  • Guide and evangelize development of product and technologies that accelerate iterative, rapid experimentation processes;
  • Develop and validate models to improve student experience and university operations;
  • Thought leadership: work with a diverse set of campus leaders to develop a vision for how advanced analytics can achieve business objectives;
  • Data Wrangling: discover, learn, and curate data for the problem at hand;
  • Mentorship and Staff Development: help junior data scientists and technical staff grow through mentorship, code reviews, and training;
  • Communications: build and maintain relationships with campus partners, develop a deep understanding of problems, present solutions.

Requirements:

  • Experience in e-commerce, ticketing, or entertainment is preferred;
  • Minimum PhD degree in Engineering, Computer Science, Mathematics, Statistics, Economics, etc. plus 4+ years’ experience;
  • Ability to understand risk implications of financial products;
  • Strong understanding of Quantitative Financial Analysis;
  • Understanding of Big Data architectures and solutions such as Spark, Hadoop and/or column-oriented SQL databases;
  • Well-versed in Python, R, SQL, statistical tools;
  • Passion and focus on execution with demonstrated ability to get things done;
  • Proven achievements of developing and managing products that have been successfully integrated in production systems;
  • Travel required within U.S. (5-25%);
  • Masters degree in computer science, mathematics, statistics or quantitative methods (or equivalent years experience required);
  • Applied modeling and analytics experience in applicable industry;
  • Prior experience managing performers and managing managers;
  • Previous experience in an analytical leadership role;
  • Expert user of R, SAS, SPSS or equivalent analytic software;
  • Fluency with Excel, PowerPoint and Word.