Manager, Data Science
Job Description:
- Lead the data science team to work on small-to-medium scale, high-impact R&D projects
- Coach and develop your team through regular 1:1s, performance reviews, and career conversations
- Foster a culture of responsible AI, innovation, and technical excellence
- Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy
- Collaborate with peer teams to define Expel's generative AI and LLM strategy
- Engage in resource planning, technical decision making, and budget management
- Define clear, measurable milestones for research initiatives
- Contribute to and maintain responsible AI practices
- Partner with Marketing to develop blogs, papers, and talks
Requirements:
- Proven track record leading and managing data science teams (4+ years)
- Strong hands-on experience designing, deploying, and scaling ML solutions in AWS and/or GCP
- Extensive Python experience, including transitioning exploratory models from Jupyter into production-ready code
- Proficiency in Python data science frameworks (e.g., TensorFlow, PyTorch, Pandas, Scikit-Learn)
- Hands-on experience with generative AI and LLM frameworks
- Familiarity with MLOps platforms and vector databases
- Experience building or overseeing agentic AI workflows
- Solid software engineering practices: Git, CI/CD, code review, testable code
- Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred
Benefits:
- Unlimited PTO (that leadership models and encourages)
- Up to 24 weeks of parental leave
- Really excellent health benefits
- Professional growth with a conference benefit and continuous learning opportunities
- Work location flexibility, including remote from your home office
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