Lead Data Scientist

The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome-focused project execution., * Collaborate with the Product Owner to manage the end-to-end AI development lifecycle-requirements gathering, data sourcing, model development, proof of concept demonstrations, risk governance reviews, and production deployment across both on-premises and AWS environments

• Demonstrate strong self-discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery
• Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self-service tools and assets
• Stay current with emerging machine learning, cloud, and AI technologies, driving innovation by evaluating and integrating new capabilities into existing workflows and products

• PhD or Master’s degree in Statistics, Economics, Data Science, or related field
• 3-5+ years related work experience in AWS cloud machine learning or a similar AI platforms, with familiarity in AWS Sagemaker, Lambda, S3, Athena, etc.
• Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools
• Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering

Desired Skills:

• Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals
• Hands-on experience with LLM fine-tuning
• Practical understanding of advanced Retrieval Augmented Generation (RAG) methods such as MMR, multi-vector retrieval, RAG fusion, HYDE, self-RAG, and retrieval evaluation frameworks
• Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi-agent collaboration, tool use agents, and workflow automation patterns
• Hands-on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract, and related ML orchestration capabilities

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident), For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website.