Product Analytics Data Scientist
Crisp AB
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLmachine learningdata analysisdata scienceagentic AIexperimentationpandasnumpyscikit-learn
Soft Skills
interpersonal skillscommunication skillsproduct mindset
Certifications
Technical undergraduate degree