Product Analytics Data Scientist

As the leading AI vertical retail data company, Crisp leverages AI to facilitate the integration, access and exchange of retail data between CPG brands, retailers, and distributors, providing unprecedented visibility to optimize retail sales and the supply chain infrastructure. Trusted by 7,000+ brands representing more than $2.5T in retail sales across over 250K stores, Crisp transforms a brand’s own retail data into a competitive advantage. Following our recent $72M Series B funding and strategic acquisitions of Atheon Analytics, Cantactix, ClearBox Analytics, Lumidata, Shelf Engine, and others, we're positioned for aggressive global expansion and product innovation in the $15T+ global supply chain market.

This is a dynamic, evolving position reporting directly to the Senior Director, Product Management, offering plenty of opportunity for growth as you leverage your strengths. Whether your background is in startups or large enterprises, you understand the meaningful impact possible within a smaller, agile organization — and you’re eager to help define your role and contribute to Crisp’s future.

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. 

What you’ll work on

• 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 

Signs of a great candidate for the role (required experiences, skills, capabilities, background, etc.)

• 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 

What Makes a Great Fit at Crisp

• 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.

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. We invite you to join us — not just to take on a role, but to help shape a company you’re proud to be part of.

Compensation & Eligibility

Compensation for this role is determined based on a variety of factors, including individual qualifications, professional experience, skill set, and geographic location. Crisp is committed to providing fair and competitive pay. Specific compensation details will be discussed with candidates throughout the hiring process.

Applicants must be authorized to work for any employer in the (United States, Canada, United Kingdom). At this time, Crisp is unable to sponsor or assume sponsorship of employment visas.

Background Verification

In accordance with company policy, Crisp conducts background checks that may include verification of identity, education, and criminal history. Any falsification or misrepresentation in an application will result in disqualification from consideration.