Note: The job is a remote job and is open to candidates in USA. Genesis10 is a staffing and consulting company providing contract and permanent placement opportunities. The Senior/Lead Data Scientist will design, develop, and deploy AI and machine learning models, manage the end-to-end AI development lifecycle, automate processes, and evaluate emerging technologies across on-premises and AWS environments.
Responsibilities
- 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
Skills
- 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
- Only candidates available and ready to work directly as Genesis10 employees will be considered for this position
- 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
Benefits
- 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)
- Voluntary Term Life Insurance
- 401K
- Sick Pay (for applicable states/municipalities)
- Commuter Benefits (Dallas, NYC, SF, and Illinois)
Company Overview