Manager, Data Science- Merchandising Category Analytics

Circle K • Tempe, AZ

9d • Onsite

About The Position

We are seeking an innovative, dynamic Data Science Manager to lead Data Science, Machine Learning, and AI initiatives for Merchandising Category Analytics. As a key leader within the Global Data & Analytics team, you will partner with Merchandising, Category Intelligence & Enablement (CIE), and Technology teams to translate strategic priorities into scalable, data-driven solutions that improve decisions and business performance. The ideal candidate brings deep technical expertise, commercial acumen, product thinking, and strong people leadership. You will lead a high-performing team of data scientists, analysts, and machine learning engineers, taking solutions from opportunity identification through deployment, adoption, and measurable value realization.

Requirements

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline; an advanced business degree is an asset.
• At least eight years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field, including three or more years in leadership roles delivering large-scale initiatives.
• Strong knowledge of exploratory and descriptive analytics, hypothesis testing, A/B testing, experiment design, and Agile development practices.
• Proficiency in Python, SQL, and R, with hands-on experience using cloud data platforms such as Azure, Snowflake, or Databricks.
• Working knowledge of data engineering workflows, including ETL, batch and real-time processing, model deployment, MLOps, and version control.
• Strong commercial mindset and demonstrated ability to translate data, analytics, and AI/ML insights into clear decisions, strategies, and business outcomes.
• Proven experience in talent acquisition, team development, coaching, and mentoring.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to audiences at all levels and influence senior leaders across geographies.
• Demonstrated success collaborating with cross-functional partners, including Data Engineering, Architecture, and Data Cloud Platform teams.
• Ability to prioritize multiple initiatives, communicate timelines clearly, and drive work proactively to completion.
• Adaptability, curiosity, and a commitment to continuous learning across business and technology domains.

Nice To Haves

• an advanced business degree is an asset

Responsibilities

• Shape the Data Science and AI portfolio: Develop and execute initiatives aligned with merchandising and enterprise priorities.
• Partner with business leaders: Work with Merchandising and CIE leaders to identify high-value opportunities, define business problems, and translate needs into analytics and AI solutions.
• Influence decisions: Present actionable insights and recommendations to senior leaders to shape business strategy and strengthen value realization.
• Lead solution development: Guide the design and deployment of scalable solutions across pricing, assortment, promotions, forecasting, experimentation, optimization, customer insights, and category performance.
• Advance AI and ML innovation: Evaluate and apply emerging capabilities, including generative AI and AI agents, to improve merchandising decisions and productivity.
• Ensure end-to-end delivery: Lead initiatives from data discovery and experimentation through production deployment, adoption, governance, and value realization.
• Scale capabilities: Establish reusable methodologies, frameworks, and MLOps practices that enable solutions to scale across categories and business areas.
• Measure business value: Define success metrics and demonstrate the measurable impact of Data Science, ML, and AI investments.
• Lead and develop talent: Coach and develop data scientists and analysts while fostering technical excellence, innovation, collaboration, and continuous learning.
• Collaborate across Data & Analytics and Technology: Partner with CIE, Data Engineering, Data Products, and Technology teams to deliver scalable, governed solutions aligned with enterprise standards.
• Champion responsible AI: Promote strong practices for model governance, explainability, data quality, privacy, and responsible AI adoption.

Benefits

• Circle K is an Equal Opportunity Employer.
• The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.
• Click below to review information about our company's use of the federal E-Verify program to check work eligibility: In English In Spanish

What This Job Offers

• Job Type: Full-time
• Career Level: Manager