Product Analytics Data Scientist
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Job Description
Product Analytics Data Scientist utilizing automation and machine learning to enhance grocery orders and reduce waste at Crisp. Collaborating with customers and data teams for optimal performance.
Responsibilities:
- 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
- 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
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.
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