The AI Products team is seeking a Staff Data Scientist to help shape the future of generative AI applications for Home Services partners, including those in the utilities and telecommunications sectors.
Requirements
- Demonstrated software engineering proficiency, including Python, Git, code reviews, test-driven development (TDD), and CI/CD pipelines (e.g., GitHub Actions, MLflow), applied to building robust, production-ready ML and LLM applications using best practices like modular code, version control, and data validation (e.g., Pydantic).
- Demonstrated ability to architect and deploy modular, production-ready data science solutions.
- Proficiency with LLM frameworks such as LangChain, LangGraph and LangSmith, and experience working with APIs from OpenAI, Anthropic, or similar.
- Familiarity with AWS ML/deployment stack (ECS, S3, Cloudwatch,etc.) for scalable model serving and monitoring of similar cloud stack.
- Hands-on experience with Databricks (Delta Lake, MLflow, Spark) for end-to-end data processing, feature engineering, and model experimentation.
- Strong understanding of LLM architectures and theory (Transformers, attention mechanisms, pre-training/fine-tuning methods).
- Familiarity with traditional ML techniques (e.g., classification, regression) and how they complement generative AI applications.
Responsibilities
- Design, prototype, and implement generative AI solutions using large language models (LLMs) that can be applied across partner use cases.
- Collaborate with cross-functional teams—including product, engineering, and other data scientists—to build and scale reusable AI capabilities.
- Build and maintain automated workflows for deploying and monitoring AI systems using modern MLOps or LLMOps tools.
- Contribute to the development of internal libraries and tooling that improve productivity and reusability across AI projects.
- Participate in model evaluation, prompt engineering, fine-tuning, and experimentation with LLM pipelines.
- Identify opportunities to integrate traditional ML techniques when appropriate, and ensure a strong data science foundation is present in AI applications.
Other
- Provide mentorship and guidance to junior data scientists; foster a culture of learning and excellence within the team.
- Demonstrated history of collaborating cross-functionally to scope, design, and implement complex AI/ML solutions, with a strong track record of influencing product direction and delivering high-impact, production-ready systems.
- Comfortable working in collaborative environments and contributing to shared team goals.
- Master's Degree + 6 years of experience OR PhD + 4 years of experience
- Bachelor's Degree or even better, Master's Degree in Math, Finance, Economics, Computer Science or other relevant degrees.
