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Staff Data Scientist

4 months ago
Anywhere
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS Docker HIPAA LLM Machine Learning MLOps Python XGBoost
Apply Now
Honor

Honor

Honor is a company that is revolutionizing the way society cares for older adults by providing highly trained Care Professionals who offer compassionate home care services. Through their flagship brand, Home Instead, they are tackling the challenge of ...

Health Care Providers & Services
1K-5K
Founded 2014
$625M raised
View All Jobs 7

Description

  • Solve a wide range of business problems using data and the appropriate level of technical complexity.
  • Partner with Engineering, Product Management, and Care Operations to define strategy and execute on it.
  • Design and implement frameworks and metrics to evaluate data products and business impact.
  • Research operational and logistical problems and identify potential solutions proactively.
  • Lead the design, implementation, and evaluation of descriptive and predictive models.
  • Champion LLM-driven workflows across the company and help build production-ready agentic systems.
  • Collaborate with Engineering on architectures for agent-based features and developer productivity tools.
  • Set success metrics upfront and assess how technical solutions affect business goals.
  • Own projects end-to-end, anticipating dependencies and driving issue resolution.

Requirements

  • 5+ years of professional experience solving complex business problems and shipping/maintaining Python in a production environment.
  • Strong foundation in traditional predictive machine learning, including classification, regression, and tree-based models such as XGBoost.
  • Deep professional expertise in at least one of the following: Optimization or Agentic AI.
  • Experience formulating and solving complex logistical or allocation problems, such as linear or integer programming, in a business setting (Optimization preferred).
  • Deep technical experience building, orchestrating, and establishing best practices for agentic systems using LLMs for autonomous decision-making and tool use (Agentic AI preferred).
  • Ability to manage product ambiguity and seek clarity to ensure the right problem is being solved.
  • Excellent mathematical and statistical foundations, supported by a degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or Physics, or equivalent professional experience.
  • Clear written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Experience designing experiments and applying causal inference methods to measure business impact (preferred).
  • Familiarity with modern MLOps practices, AWS, Docker, or CI/CD pipelines (preferred).
  • Experience working with sensitive data such as PII or PHI in a HIPAA-compliant environment (preferred).
  • Experience optimizing portfolio allocation in a two-sided marketplace, such as care matching, hiring, or demand forecasting (preferred).

Benefits

  • Hiring salary range of $194,400 to $216,000 USD.
  • Generous equity packages that increase with level and responsibilities.
  • 401(k) with up to a 4% employer match.
  • Medical, dental, and vision coverage, including zero-cost employee plans.
  • Fully employer-paid Short Term Disability, Long Term Disability, and Life Insurance, with optional supplemental Life Insurance.
  • Generous time off program.
  • Mental health benefits and a wellness program.
  • Discount program.

Interested in this position?

Apply directly on the company website

Apply Now

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