Sr. Data Scientist

Role overview

This senior, remote position leads data science initiatives from initial problem framing through measurable business impact. The role partners closely with engineering to ensure models and analyses ship into production rather than remaining in notebooks. It is suited for an experienced data scientist who can operate independently and translate between technical and business audiences.

Responsibilities

- Frame open-ended business problems into measurable hypotheses and concrete ML or AI approaches. - Design experiments, prototypes, and metrics that guide both product decisions and model development. - Create, validate, and iterate on features, baselines, and evaluation criteria. - Work with engineering teams to productionize models and analytics workflows. - Communicate findings and tradeoffs to both technical and non-technical stakeholders.

Requirements

- At least five years of AI/ML and data science experience with shipped, measurable outcomes. - Strong foundation in statistics and experimentation methodology. - Strong Python skills and comfort with common data science and machine learning libraries. - Experience with data modeling and analytics workflows. - Ability to operate independently and deliver end-to-end, from scoping through production.

Nice to have

- Experience with causal inference and uplift modeling. - Experience with LLM evaluation and human-in-the-loop workflows.