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