Senior Manager, Data Science

Honor Technology

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Honor’s mission is to change the way society cares for older adults. Honor combines technology, operations, and the local expertise of partner agencies to improve how care is delivered at scale, supporting caregivers, coordination teams, and families.

Responsibilities

  • Shape the Data Science and Applied AI roadmap, identifying high-impact areas for predictive modeling, optimization, and modern AI
  • Lead the development of production models and decision-support systems for matching, scheduling, and operational prioritization
  • Apply modern AI, including agentic workflows, to improve decision-making and operational execution
  • Partner with Product, Engineering, and Operations from problem definition through deployment and iteration
  • Establish standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems
  • Lead, coach, and grow the team as a hands-on player-coach

Requirements

  • 7+ years of experience in data science, machine learning, operations research, or applied AI
  • 3+ years of experience leading teams
  • Proven track record of building or leading production models that influence business outcomes
  • Ability to determine appropriate technical approaches (optimization, simulation, AI agents, etc.) for complex problems
  • Experience partnering with cross-functional stakeholders on ambiguous problems
  • Ability to communicate clearly with technical and executive audiences
  • Strong people leadership skills with a focus on talent development and technical culture

Preferred Qualifications

  • Experience with marketplace, logistics, workforce, or scheduling systems
  • Experience in healthcare or complex operating environments
  • Expertise in optimization, forecasting, recommender systems, causal inference, or agentic systems

Skills & tools

Data ScienceMachine LearningAI

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years data science experience
  2. 023+ years leadership experience
  3. 03Experience with production machine learning models
  4. 04Strong cross-functional communication skills
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