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

Overview

On Site
$40 - $50
Contract - W2
Contract - 6 Month(s)

Skills

Data Scientist
LLM
NLP
GenAI
Chatbot
AWS
Machine Learning
Python
SQL

Job Details

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.

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
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About Intelliswift Software Inc