About The Role
We are seeking a highly technical and pragmatic Senior Applied AI / Data Scientist to help scale AI-enabled systems, analytics workflows, and internal data applications across the organization.
This is not a traditional research-focused data science role. The ideal candidate is someone who can bridge business problems, analytics, engineering, and modern AI tooling to rapidly prototype and operationalize high-impact solutions.
What You'll Do
You will work closely with Data Engineering, Analytics, Product, and business stakeholders to:
- Build AI-assisted workflows and internal tooling
- Prototype and productionize LLM-enabled applications
- Develop scalable analytics and decision-support systems
- Improve self-service data access safely and responsibly
- Reduce operational burden through automation and intelligent systems
- Help evolve internal governance and semantic consistency practices
Who You Are
- 5+ years of experience in Data Science, Analytics Engineering, Applied AI, ML Engineering, or related technical roles
- Strong Python and SQL skills
- Experience building production-facing data or AI systems
- Experience working with LLMs, AI tooling, orchestration frameworks, RAG systems, or AI-enabled workflows
- Ability to independently scope and execute ambiguous technical projects
- Strong systems thinking and debugging ability
Nice To Have
- Experience with Snowflake, Airflow, dbt, AWS, or modern analytics stacks
- Experience with vector databases, embeddings, semantic search, or knowledge systems
- Exposure to healthcare, fintech, marketplace, or other regulated/sensitive data domains
- Experience building internal tooling or developer productivity systems