Data Science Lead

Posted: 2026-09-02

Data Science Lead

Job requirements With at least 8 years of experience in technical product management, engineering management, or similar roles leading technical teams in AI/ML or data-driven product development Key Responsibilities:

- Set strategic priorities and determine team focus across AI Enablement and AI Experiments tracks, ensuring measurable progress toward organizational goals

- Serve as the primary liaison with internal business teams to understand workflows, gather requirements, and translate business pain points into actionable technical work

- Collaborate with product teams to align exploration and experimentation efforts with broader product direction

- Lead the team’s operating rhythm, including stand-ups, demos, planning sessions, and progress readouts to leadership and stakeholders

- Allocate resources across workstreams, moving team members based on shifting priorities to maximize impact and efficiency

- Evaluate and shut down experiments or projects that are not delivering results, reprioritizing efforts swiftly and effectively

- Guide the team’s technology roadmap by making decisions on model selection, infrastructure, build-vs-buy tradeoffs, and adoption of new tools

- Define and evolve AI governance and compliance practices, establishing guardrails for responsible AI use, data handling, and decision explainability

- Manage and optimize AI infrastructure spend, tracking LLM costs, token usage patterns, and vendor contracts to ensure cost-effective operations

- Advanced proficiency in Python for code review, scripting, and prototyping

- Strong understanding of LLM-based systems, including retrieval-augmented generation pipelines

- Experience with ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn

- Hands-on experience with Azure cloud infrastructure for deploying, monitoring, and scaling AI workloads

- Expertise in statistical analysis and computing, including hypothesis testing, t-test, z-test, and regression techniques