Senior Manager, Data Science

Honor

Senior Manager, Data Science leading advanced data science and AI initiatives at Honor. Managing a team to solve operational challenges in aging care with innovative technology solutions.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $228,600 - $254,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, machine learning, and applied AI, with a strong focus on developing production models and decision systems that drive business outcomes. Proven ability to lead teams, collaborate across functions, and maintain high standards for evaluation and deployment of AI-enabled systems.

Highest-signal resume keywords

Data ScienceMachine LearningApplied AITeam LeadershipCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model DevelopmentDecision SystemsOperations ResearchPredictive AnalyticsOptimization TechniquesSimulationWorkflow RedesignAI Agent DevelopmentData EvaluationTechnical Rigor

Soft Skills

Effective CommunicationProblem-SolvingBias Toward ActionTalent DevelopmentExpectation Setting

Industry Keywords

Production SystemsOperational DataBusiness OutcomesTechnical CultureIterative Approach

About the role

Key responsibilities & impact

Lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions.
Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes.
Contribute to Honor’s broader Data Science and Applied AI direction.
Help shape the team’s roadmap and remain hands-on as a player-coach.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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
Discount program