Senior Manager, Data Science

What you'll do

• Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact.
• Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability.
• Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work.
• Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration.
• Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems.
• Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach.

Examples of problems you may solve

• Improving caregiver-client matching while balancing fit, continuity, availability, and travel.
• Building more reliable and sustainable schedules for caregivers and clients.
• Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact.

About you

• 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams.
• Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes.
• Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all.
• Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight.
• Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems.
• Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor.
• Can communicate clearly with technical, operational, and executive audiences.
• Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view.
• Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture.

Helpful experience

• Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation.
• A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact.

Compensation

• Hiring Salary Range: $228,600—$254,000 USD (base pay)
• Generous equity packages that increase with position level and responsibilities
• 401K with up to a 4% employer match
• Medical, dental and vision coverage including zero cost plans for employees
• Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option
• Generous time off program, mental health benefits, wellness program, and discount program