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Location
Massachusetts
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Sector:
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Contact:
Jamie Bernard
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Contact email:
jamie@intelletec.com
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Consultant:
Jamie Bernard
Fortune 500 company in the retail sector is looking for a Manager of Analytics. Are you collaborative, outgoing, consider yourself a leader? We are looking for a seasoned Manager to lead a well established Membership Analytics Team.
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.
Responsibilities
- Lead a team of 2-4 Data Scientists
- Support the enterprise by providing ad hoc data science support inclusive of data engineering, software solutioning, modelling and measurement
- 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)
Need to have:
- 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