Note: The job is a remote job and is open to candidates in USA. UNFI is a wholesale company seeking a hands-on Manager of Data Science and Analytics to lead high-impact analytics, data science, and AI-driven initiatives. The role focuses on translating consumer, shopper, and retail data into actionable strategies while establishing scalable analytical processes, frameworks, dashboards, and decision-making capabilities.
Responsibilities
- Lead end-to-end analytics and data science initiatives, from problem definition to insight delivery and business impact
- Analyze shopper behavior, loyalty, assortment, and category performance data to identify opportunities for assortment optimization, innovation, and differentiation
- Support development of category decision frameworks by integrating sales, shopper, supplier, and market trend data into actionable recommendations
- Design and execute experiments using strong statistical and causal inference methodologies
- Integrate AI/ML techniques (e.g., predictive modeling, segmentation, recommendation logic, automation) into analytical workflows
- Establish and scale standardized processes for analytics, experimentation, and reporting
- Partner cross-functionally with Pro Services, Marketing, and Merchandising teams to define KPIs, measurement frameworks, and growth strategies
- Translate complex data and models into clear, actionable recommendations for stakeholders
- Build and oversee scalable dashboards, tools, and data products
- Drive improvements in data quality, instrumentation, and analytics infrastructure
- Mentor team members and promote best practices in analytics, AI usage, and process discipline
- Identify high-impact opportunities and prioritize work to maximize business value
- Lead the development of data-driven strategies that connect consumer behavior, shopper insights, and retail partner needs to business outcomes at the store level
- Guide teams in translating advanced analytics into actionable recommendations for merchandising, assortment, pricing, and in-store execution
- Partner with retail and commercial stakeholders to ensure analytical outputs are aligned to retailer priorities and shelf-level decision making
- Performs other duties as assigned
Skills
- * 5–8+ years of experience in analytics, data science, or related field
- * Strong experience with experimentation, statistical analysis, and data modeling
- * Demonstrated experience applying AI or automation to drive efficiency and insight generation
- * Experience developing and implementing scalable analytical processes and frameworks
- * Strong experience linking data science and analytics outputs to consumer, shopper, and retail partner strategies, preferably in CPG or retail environments
- * Proficiency in SQL and Python/R; experience with ML/AI frameworks or tools preferred
- * Strong business acumen and ability to connect insights to outcomes
- * Excellent communication and stakeholder management skills
- * Good judgment is required for this position as there may be times when direct supervision may not be immediately available
- * This position is classified as remote where the associate will perform remote work from their primary residence. Remote associates are welcome to work from the office but are not required to do so. While remote associates are not required to work from an office on a regular basis, they may be required to come to the office or other UNFI locations for necessary business reasons or if directed to do so by their manager
- * This position may require the associate to travel to company offices, distribution centers, or other locations for specific meetings or other business reasons
- * Incumbent may sit for long periods of time at a desk or computer terminal
- * While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear
- * Incumbent may use calculators, keyboards, telephones, and other office equipment in the course of a normal workday
- * Stooping, bending, twisting, and reaching may be required in the completion of job duties
- * Master's degree in data science, statistics, AI, business analytics or related field strongly preferred
- * Preferred experience in product analytics, growth analytics, or customer lifecycle analysis
- * Preferred experience working with retail, merchandising, category management, loyalty, or shopper analytics data
- * Preferred familiarity with modern data ecosystems (e.g., cloud data platforms, feature stores)
- * Preferred experience operationalizing machine learning models or AI-enabled solutions
- * Preferred track record of improving organizational analytics maturity and workflows
Benefits
- Bonus eligible
- Remote work from the associate's primary residence; remote associates may work from the office but are not required to do so
- Paid Time Off
- Sick Time
- Paid holidays
- Parental leave
- 401K Program
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Accidental death and dismemberment insurance
- Short-term disability insurance
- Long-term disability insurance
- Flexible Spending Account and/or Health Savings Account
Company Overview
Company H1B Sponsorship