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Director Data Science
3 months ago
Join our team of more than 34,000 team members, supporting our members and communities in our Club Support Center, 235+ clubs and eight distribution centers. BJ's Wholesale Club offers a collaborative and inclusive environment where all team members can learn, grow and be their authentic selves. Together, we're committed to providing outstanding service and convenience to our members, helping them save on the products and services they need for their families and homes.
The Benefits of working at BJ's
• BJ's pays weekly
• Eligible for free BJ's Inner Circle and Supplemental membership(s)
• Generous time off programs to support busy lifestyles
o Vacation, Personal, Holiday, Sick, Bereavement Leave, Jury Duty
• Benefit plans for your changing needs
o Three medical plans , Health Savings Account (HSA), two dental plans, vision plan, flexible spending
eligibility requirements vary by position
medical plans vary by location
At BJ's, we are transforming our organization to deliver exceptional business results while providing greater value to our members. A key driver of our transformation is the Enterprise Analytics team, who is BJ's internal advanced analytics consultancy. The Enterprise Analytics team transforms data into actionable insights and is "at the table" collaborating with business leaders to drive innovation, strategy and business outcomes.
Director of Data Science
The Director of Data Science will support the Membership & Data Science pillar of the Enterprise Analytics Team. Reporting directly to the Vice President of Membership Analytics & Data Science, we are looking for a thought partner who will work with the business to apply Data Science principles and technology to drive business initiatives that will improve member acquisition, engagement, shopping, retention and growth. In addition, this role will be responsible for helping to envision, build and deploy our next generation of data science tools, which will help us fundamentally transform our business.
Job responsibilities include but not limited to:
- Support the enterprise by providing ad hoc data science support inclusive of data engineering, software solutioning, modelling and measurement
- Govern enterprise-wide testing design and measurement to ensure statistical validity
- Maintain and build upon our internal data science technologies inclusive of marketing, pricing measurement, consumer insight and digital use cases (MMM/MTA)
- Partner in the creation of testing plans and deliver timely measurement of performance
- 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)
- Develop and maintain machine learning pipelines including ETL and ML Ops pipelines
- Provide opinion on existing and new integrations of 3rd party data science solutions and measurement
- Ability to communicate data science concepts/insights to non-technical audiences
- Manage, coach and develop a team of Data Science Managers and Data Scientists
Job Requirements:
- 10+ years of experience of data science/analytics experience, preferably in the retail space
- 5+ years of experience with progressive management/team lead experience, leading team of 10+, including data science managers
- Experience working with global and remote teams
- Track record in building/implementing machine learning algorithms and applications in production
- Experience guiding teams in addressing technical and delivery challenges
- Excellent communication and visualization skills
- 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)
- Eager to learn new algorithms, new application areas and new tools
- Preferred experience with cloud-computing frameworks (e. g. AWS/GCP/Azure)
- BSc in Computer Science, engineering (or related area), or equivalent experience
