Product Analytics Data Scientist

Crisp

5h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

What This Job Offers

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