Data Scientist (Hybrid), Only W2

Hi, We are looking for Data Scientist (Hybrid). Please let me know if interested and share your resume. Job Title: Data Scientist (Hybrid), only W2 Location: Columbus, OH, Dallas, TX / Charlotte, NC / Minneapolis, MN Skill set: • Needs a master's degree (doesn’t have to be in IT) • Data Scientist experience– 5+ year's experience (would be open to 3+) • AI – looking for someone who has a passion, hands on experience (doesn’t have to be in working environment) • Strong experience in Python or R • AWS experience (will be asked about their experience with what they’ve services used in AWS in the interview) Key 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, 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 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. Basic 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 Skills and Characteristics • 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. Regards, Praveen Vasala Email ID: praveen.vasala@veritis.com Contact: +1 (469) 649 1786 Ext: 122