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Director of Data Science (ecommerce)

Director Data Science

We’re looking for someone to lead our high-performing Data Science team. We seek a leader with a passion for building infrastructure and driving informed business decisions through sophisticated use of data and analytics. You and your team will define experiments and measurements, conduct statistical analysis, build models, and surface insights to scale and optimize our business and our customer support experience. The perfect candidate will have a background in applied statistics, economics or a related quantitative field, will have strong business acumen, experience working with large data sets, and experience working with senior leaders. You are a self-starter, eager to learn, focused on impact and results, and have demonstrated success in using data science to drive understanding, progression, and decision making. In this role, you’ll get to hire, lead, and grow a small team of data scientists and analysts with great technical skills, and characteristics. You will serve as scrum master for the team and remove blockers when needed. This person will be required to build partnerships with key members of the company.


  • Serve as the lead for the data science team, both in the prioritization and quality control of others’ work and also as a personal contributor
  • Ability to formulate hypotheses and use existing data to test
  • Where data is not readily available, find proxys and other means of evaluating the business
  • Strong communication skills in both verbal and written form to convey results in an easy to digest fashion to a non-technical audience
  • Strong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentation
  • apply advanced analytics knowledge to existing business problems in order to grow revenue and/or reduce cost
  • Developing predictive models in Python and SQL to build a retail experience platform
  • Applying analytical rigor and statistical methods to analyze large amounts of data across all channels
  • Collaborating with business partners in developing approaches and delivering insights
  • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team

Education & Experience

  • 5+ years as a people leader with proven success
  • 10+ years’ experience in analytics field Demonstrated results through application of business acumen and experience leading teams through complexity and ambiguity
  • E-commerce experience in a high transaction volume business
  • Database experience with redshift
  • Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience

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