Staff Data Scientist

About the work

• 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.

About you

• 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) and know when to use standard models versus LLMs.
• 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). Concrete experience building agentic workflows that drive business impact.
• Set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.
• Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
• Able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.
• Rapidly iterate and deliver technical solutions that maximize business impact.
• Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.
• Accountable end-to-end for the entire project lifecycle. Proactively anticipate and drive resolution for potential issues across dependencies.

Bonus points if you have professional experience with

• Designing experiments and applying causal inference methods to rigorously determine business impact.
• Developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting).
• Modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.
• Working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.