Manager,DataScience

You believe the most impactful data science comes from teams that are close to the problem — and you're energized by building those high-performing teams. At Expel, you'll lead a data science team doing R recruit and onboard new members with an eye toward team dynamics Foster a culture of responsible AI, innovation, and technical excellence Shape the strategy Work closely with PM, UX, D monitor progress with data-driven metrics; communicate regularly with senior leadership Contribute to and maintain responsible AI practices including model fairness, explainability, safety guardrails, and bias monitoring for production ML and LLM systems Contribute to non-critical-path feature implementation, bug fixing, and technical design (no more than 25% of your time) Build Expel's external voice Partner with Marketing to develop blogs, papers, and talks on how Expel thinks about, applies, measures, and validates the use of ML, generative AI, and LLMs Present internally and externally to both technical and non-technical audiences What you should bring with you Leadership expert-level depth in at least one area Hands-on experience with generative AI and LLM frameworks such as LangChain, LlamaIndex, or the OpenAI/Anthropic SDKs Experience with RAG pipelines, prompt engineering, and LLM evaluation Familiarity with MLOps platforms (Vertex AI, SageMaker, or MLflow) and vector databases (Pinecone, Weaviate, pgvector) Experience building or overseeing agentic AI workflows and multi-agent orchestration, ideally within AWS using Amazon Bedrock and AgentCore Solid software engineering practices: Git, CI/CD, code review, testable code Education Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred or a compelling story 6+ years of professional data science experience, including 4+ years in a team leadership role Additional Notes The base salary range for this role is a base salary between $151,000 USD and $2