Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist contract position in Dallas, TX, requiring 5+ years of Python programming, experience with LLMs, NLP, and cloud environments. Proficiency in Git, Scikit-learn, and DevOps practices is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 22, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Science #AWS (Amazon Web Services) #NLP (Natural Language Processing) #Data Pipeline #Programming #NLTK (Natural Language Toolkit) #GitHub #Langchain #Microservices #Public Cloud #Deployment #GIT #Version Control #Kubernetes #Azure #DevOps #Data Cleansing #MongoDB #Databases #GCP (Google Cloud Platform) #SpaCy #Cloud #Python #API (Application Programming Interface)
Role description
Hello Everyone, Title: Data Scientist Location: Dallas, TX (Onsite) Type: Contract Data Science Skills β€’ Deploy and maintain knowledge ingestion pipelines and integration into API based services. β€’ Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG. β€’ Experience fine tuning and deploying LLMs. β€’ Stay current on the latest GenAI trends, frameworks, and coding practices. Software Development Skills β€’ Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment. β€’ Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS. β€’ Uphold quality through DevOps pipeline, unit , integration , and end to end testing. Required Qualifications: β€’ 5+ years of experience programming with Python. β€’ 1+ years of experience in Git and version control. β€’ 1+ years of experience with a public cloud β€’ 1+ years using Scikit learn β€’ 1+ years of Langchain experience. β€’ 1+ years of LLM experience building RAG systems β€’ 1+ year experience with vector databases such as MongoDB Atlas or Pinecone β€’ Portfolio of LLM applications and sample projects β€’ 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup β€’ 1+ years of LLM experience building RAG systems at scale (10,000+ documents). β€’ 1+ years experience in DevOps with Github Actions or similar CI/CD tools. β€’ 1+ years of writing and deploying microservices β€’ 1+ years of Kubernetes experience β€’ Strong code refactoring skills β€’ Strong deb