Staff Data Scientist

Honor

Data Scientist at Honor leveraging data to enhance technologies for older adults' care experience while collaborating with Engineering and Operations teams.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesLead💰 $194,400 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in solving complex business problems through data-driven approaches, with a strong foundation in predictive machine learning and optimization techniques. Proficient in Python and capable of designing and implementing robust frameworks for measuring data product effectiveness.

Highest-signal resume keywords

Python DevelopmentPredictive Machine LearningOptimization TechniquesAgentic AI SystemsStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingClassificationRegressionXGBoostLinear ProgrammingInteger ProgrammingData AnalysisStatistical FoundationsMathematical ModelingFramework Design

Soft Skills

Clear CommunicationPersuasive CommunicationProblem-SolvingCollaborationAdaptability

Tools & Technologies

LLM-Driven WorkflowsData ProductsProduction-Ready SystemsAgent-Based SystemsMetrics Frameworks

Industry Keywords

Business ImpactOperational ProblemsLogistical SolutionsQuantitative FieldTechnical Complexity

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity
Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it
Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact
Research operational/logistical problems and proactively identify potential solutions
Lead the design, implementation, and evaluation of descriptive and predictive models
Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity

Requirements

What you’ll need

7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment
Strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost)
Deep professional expertise in at least one of the following two areas:
Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting
Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use)
Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience
Ability to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes
Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.

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