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Role Description

This role serves a critical function within our Smart Replenishment team. We combine automation and machine learning to optimize grocery orders, growing sales and reducing food waste at the same time.

The Product Analytics Data Scientist will work closely at the intersection of customers and data science, improving our algorithms so they match customer needs while also helping customers digest the data to understand ordering performance. You’ll use a range of tools, from building dashboards to tuning our models to helping refine our AI agents, to uncover how we can order better and how our customers can use our data to inform decisions outside of ordering. And you’ll do this with a product mindset, building tools and processes that work across our portfolio and support expansion to new customers.

• Refining and supporting adoption of AI agents that can summarize performance, detect anomalies, and suggest remediations
• Tailoring our models to customer strategy, whether it’s growing sales in a new category or maximizing profit in a challenging one
• Designing, running, and analyzing experiments to improve customer performance
• Providing visibility into ordering issues like fill rates, short dated product, or produce quality concerns
• Collaborating with the core Crisp Data Science team on model enhancements to address customer needs

Qualifications

• Technical undergraduate degree (Computer Science or related field)
• 3+ years work experience in Analytics or Data Science
• Exceptional interpersonal and communication skills
• Production Python experience
• Strong SQL, PowerBI is a plus
• Experience with agentic AI, machine learning, and experimentation are all highly valued
• Familiarity with common Python analysis libraries (pandas, numpy, scikit-learn), Git, and Docker preferred

Requirements

• Collaboration: You believe the best results come from working together. You share ideas, pitch in, and elevate those around you.
• Grit: You’re curious, self-driven, and unafraid to roll up your sleeves. You get the job done even when the path isn’t clear and adapt quickly when things change.
• People: You stay close to those we serve. Listening, learning, and building what matters most.
• Feedback: You see it as fuel. You give it with care, take it with humility, and use it to level up.
• Ingenuity: You solve problems with creativity and speed. You look for ways to streamline, automate, or improve without being asked.

Benefits

• We are committed to transparency, diversity, and meritocracy, fostering an environment where every team member is empowered to make an impact, grow personally, and advance in their career.
• Compensation for this role is determined based on a variety of factors, including individual qualifications, professional experience, skills, and geographic location.
• We are committed to fair and competitive pay, and compensation details and expectations will be shared and discussed with candidates as the hiring process progresses.