

Sr Data Scientist (32508)
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 4, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Chicago, IL
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π§ - 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
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