Lead/Senior Data Scientist
Role details
Job location
Tech stack
Job description
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 decisionmaking. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcomefocused project execution. This newly created role will be dedicated to AI Automation value streams and lead data science initiatives from concept through deployment., * Collaborate with the Product Owner to manage the endtoend AI development lifecycle-requirements gathering, data sourcing, model development, proofofconcept demonstrations, risk governance reviews, and production deployment across both onpremises and AWS environments.
- Demonstrate strong selfdiscipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, 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 selfservice 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.
Requirements
- PhD or Master's degree in Statistics, Economics, Data Science, or related field.
- Three to Five 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.
Preferred Qualifications
- 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.
Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.