Data Science Manager | Fortune 500 Retail Company

  • Location


  • Sector:

    Data Science

  • Job type:


  • Contact:

    Amelia Jones

  • Contact email:


  • Startdate:


  • Consultant:

    Amelia Jones

Intelletec has partnered with a Fortune 500 company in the retail sector looking for a Data Science Manager, to report directly to the Director of Data Science. The role is based in Boston, however will be remote with some travel.

This is an amazing opportunity to join a team that considers themselves internal analytic consultants. You will strengthen member loyalty, improve retention, acquire high-quality members and increase member lifetime value through advanced analytics.


  • Lead a team of 2-4 Data Scientists

  • Support the enterprise by providing ad hoc data science support inclusive of data engineering

  • Maintain and build internal data science acquisition/personalization/engagement targeting technologies inclusive of digital use cases

  • Execution, delivery, and measurement of membership acquisition campaigns

  • Ability to frame business problems and decompose their constituent parts for data science analysis and building new solutions

  • Build machine learning models and use applied statistics (supervised/unsupervised learning, lift modeling, linear/nonlinear programming) to support the business

  • Certify all engagement and loyalty testing design/measurement (hypothesis testing, A/B testing, design of experiment, sample size/power calculation)



  • 5+ years of experience of data science/analytics experience

  • 2+ years of experience with progressive management/team lead experience

  • Experience working with global and remote teams preferred

  • Track record in building/implementing machine learning algorithms and applications in production

  • Thorough knowledge in statistics and experience with ideating, designing, and analyzing experiments and A/B tests

  • Hands-on coding skills with SQL, Python, or R

  • Deep understanding and commitment to software engineering tools/principles/processes (eg., Agile, DevOps, CI/CD, GIT, Jira, Confluence)

  • MS in Engineering or Computer Science preferred