Onsite Mid-Level Data Scientist, LLM, NLP, Chatbot, AWS, GenAI, ML, AI

Location: Coppell, TX 75019 Type: Contract JO#: 25-08276:CD Title: Onsite Mid-Level Data Scientist, LLM, NLP, Chatbot, AWS, GenAI, ML, AI, Data Cleansing, SQL, Python Description: Mid-Level Data Scientist with 4-6 years in Data Scientist, LLM, Natural Language Processing (NLP), Chatbot, Machine Learning, AWS, Python for a contract position onsite, possibly to hire.

100% onsite to the Coppell, MUST BE LOCAL to Dallas area, no relocation.This position pays $45-50 W-2.Must be US Citizen, Green Card Holder or EAD in final stages of Green Card, no OPT, sponsorship or no 3rd party C2C.

Working in all aspects of the data science cycle.

What you will be doing:Solve business problems using but not limited to LLM, Natural Language Processing (NLP), GenAI, AWS, Machine Learning and market basket analysisDeveloping Chatbot using LLM, NLP, GenAI, Machine Learning, AWSDevelop experimental and analytic plans for data modeling processesBuild and operationalize data pipelines, analytical tools and decision support modelsPursue predictive analytics opportunities to solve business problemsCreate predictive models using AWS, AWS SageMakerImplement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling effortsLots of data cleansingDeveloping, and maintaining dashboards and visualizationsCommunicating technical ideas to stakeholders What you will need:4-6 years of experience as a Data ScientistExperience with LLM – Large Language ModelExperience with Natural Language Processing (NLP), GenAIExperience with GenAI, Generative AIExperience with Machine Learning – Supervised and Unsupervised Machine LearningExperience building Chatbot, ChatbotsExperience with AWS - Lambda functions, bedrock, LEX, cloud front, cloud formation, redshift, S3, EC2, Textrack, SageMakerSolid experience in data cleansingCoding in Python or R Experience in model building with frameworks such as Scikit-learn, TensorFlow, TransformerWriting and tuning SQL Experience performing thorough exploratory analysisPositive, can-do attitude, curious, self-driven, analytical and excited to play with data Education: Bachelors, Masters or PhD in Data Analytics, Data Science or similar