Data Scientist, Consultant
About The Position
The Data Scientist, Consultant will join the AI & Machine Learning team, partnering across the enterprise to apply machine learning, statistical analysis, generative AI, and applied AI to create intelligent products. Reporting to the Director, AI & Machine Learning, the role develops and deploys novel applications and translates AI research into real-world products, taking features from 0 to 1. The position designs, builds, and ships production-grade AI products—including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, statistical models, and AI-enabled automation—embedded in customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. The role emphasizes rapid feature development, collaboration across partner teams, evaluation and iteration, and maximizing product impact. It also contributes to technical direction, product architecture, reliable deployment, responsible and compliant AI, and guidance for less experienced team members. The position reports to the Director, AI & Machine Learning.
Requirements
- Bachelor's degree in computer science, statistics, a quantitative discipline, or equivalent practical experience.
- 7 years of experience in software development, applied AI/ML, and statistical analysis.
- Demonstrated track record of rapidly building and shipping software products, rather than only developing models or analyses.
- Working knowledge of machine learning and statistical analysis methods, with experience applying them to business problems.
- Strong software engineering skills and proficiency in Python, including building APIs and backend services.
- Experience with ML design and infrastructure, including model deployment, evaluation, data processing, and machine learning frameworks and libraries.
- Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph.
- Hands-on experience building generative AI applications, including prompt engineering and retrieval-augmented generation (RAG).
- Advanced degrees in a relevant field may be considered in lieu of a portion of the required experience.
Nice To Haves
- Master's degree, or a PhD with relevant experience.
- Experience with generative AI research or applications.
- Experience building agent-based systems and working with orchestration frameworks.
- Experience with cloud computing platforms and infrastructure such as Azure, Google Cloud, or AWS, and scalable data processing with SQL or Spark.
- Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management.
- Experience rapidly developing and shipping software in a fast-paced, customer-facing environment while adapting to changing priorities.
- Understanding of responsible AI and governance for regulated or healthcare environments.
Responsibilities
- Develop and deploy novel applications using machine learning and generative AI models, contributing to the organization's technical direction for AI, machine learning, and statistical analysis.
- Design and develop scalable applications, including LLM applications, copilots, agents, RAG, and search, embedded in customer-facing products and enterprise workflows.
- Rapidly prototype features and iterate based on evaluation results and statistical analysis.
- Contribute to the architecture and development of new products and features from 0 to 1.
- Collaborate with researchers and product managers to translate AI and machine learning research into product features.
- Build APIs, services, and data and retrieval pipelines that expose AI and machine learning capabilities to applications.
- Optimize software performance and ensure the reliability of deployed applications.
- Apply and promote best practices for building and deploying machine learning and generative AI applications.
- Evaluate model performance using statistical analysis, analyze results, and implement improvements while ensuring responsible and compliant AI.
- Provide technical guidance to less experienced team members and foster a collaborative, high-performing environment.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
