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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• 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
Apply tot his job
Apply To this Job