Sr Data Scientist (32508)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist in Waukegan, IL, lasting 6+ months. Pay rate is competitive. Key skills include Python, LLMs, RAG, API development, SQL, and experience with frameworks like LangChain. Strong OOP and documentation practices required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 4, 2025
πŸ•’ - Project duration
More than 6 months
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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
Chicago, IL
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🧠 - Skills detailed
#pydantic #Version Control #Programming #API (Application Programming Interface) #Deployment #Consulting #Python #NumPy #Libraries #Elasticsearch #FastAPI #Langchain #Databases #Data Science #Documentation #Pandas #AI (Artificial Intelligence) #SQL (Structured Query Language) #SQL Queries #GIT
Role description
Position: Senior Data Scientist Location: Waukegan, IL (Onsite) Duration: 6+ months with potential for extension Client: Direct client through Myticas Consulting Job Description: Myticas is seeking a highly skilled Senior Data Scientist for a contract opportunity with one of our direct clients based in Waukegan, IL. The ideal candidate will have strong experience in Python programming and a deep understanding of large language models (LLMs), retrieval-augmented generation (RAG), and associated tools. Key Responsibilities and Requirements: Programming and Development: β€’ Proficient in Python programming. β€’ Solid understanding of the core data science stack including pandas, NumPy, and scikit-learn. β€’ Experience with API development and integration using tools such as the requests library and FastAPI. Large Language Models & RAG: β€’ Experience working with LLMs and retrieval-augmented generation techniques. β€’ Hands-on experience with frameworks such as LangChain and LangGraph is strongly preferred. β€’ Capable of developing robust, user-friendly processes for LLM deployment and usage. β€’ Experience in developing intelligent agents and implementing few-shot prompting with RAG. β€’ Understanding of vector databases and libraries, such as FAISS and Elasticsearch. Software Development Best Practices: β€’ Strong grasp of object-oriented programming (OOP). β€’ Ability to write modular, maintainable, and well-documented code. β€’ Familiarity with documentation practices including use of docstrings, dataclass, and Pydantic. β€’ Proficient in version control tools and methodologies (e.g., Git). Data & Evaluation: β€’ Proficiency in writing efficient and performant SQL queries. Experience benchmarking AI and data science methods, particularly using ranking metrics such as: β€’ Mean Reciprocal Rank (MRR) β€’ Top-k Accuracy β€’ Top-k Precision β€’ Top-k Recall