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 analysis • Developing Chatbot using LLM, NLP, GenAI, Machine Learning, AWS • Develop experimental and analytic plans for data modeling processes • Build and operationalize data pipelines, analytical tools and decision support models • Pursue predictive analytics opportunities to solve business problems • Create predictive models using AWS, AWS SageMaker • Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts • Lots of data cleansing • Developing, and maintaining dashboards and visualizations • Communicating technical ideas to stakeholders What you will need: • 4-6 years of experience as a Data Scientist • Experience with LLM – Large Language Model • Experience with Natural Language Processing (NLP), GenAI • Experience with GenAI, Generative AI • Experience with Machine Learning – Supervised and Unsupervised Machine Learning • Experience building Chatbot, Chatbots • Experience with AWS - Lambda functions, bedrock, LEX, cloud front, cloud formation, redshift, S3, EC2, Textrack, SageMaker • Solid experience in data cleansing • Coding in Python or R • Experience in model building with frameworks such as Scikit-learn, TensorFlow, Transformer • Writing and tuning SQL • Experience performing thorough exploratory analysis • Positive, 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