Key skills
DockerNumpyPandasPythonScikit-LearnSQLAIMachine LearningAgenticscikit-learnNumPyAnalyticsGitCommunicationSales
About this role
Role Overview
- 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
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
Tech Stack
- Docker
- Numpy
- Pandas
- Python
- Scikit-Learn
- SQL
Benefits
- Collaborative environment with a strong emphasis on teamwork
- Opportunity for growth and career advancement
- Commitment to transparency, diversity, and meritocracy