Prudent Technologies and Consulting, Inc.

Data Scientist_ Onsite(w2 Only )

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Fort Worth, TX, on a contract basis. Requires 6+ years in optimization algorithms, proficiency in Python, R, SQL, and Java, and expertise in machine learning, deep learning, and LLM architecture.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 20, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Fort Worth, TX
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🧠 - Skills detailed
#Visualization #Libraries #R #Cloud #Programming #Deep Learning #Data Science #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Computer Science #Project Management #Scrum #Agile #AI (Artificial Intelligence) #Python #Java #Kanban #Transformers #ML (Machine Learning) #Databases
Role description
Data Scientist Fort Worth, TX Contract MUST : Machine Learning and Deep Learning experience Job Summary: Basic Qualifications β€’ Minimum 6 years of experience with building optimization algorithms or relevant experience. β€’ Advanced proficiency in programming languages such as Python, R, SQL, and Java. β€’ Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. β€’ In-depth experience with data science cloud platforms and their integration into business solutions. β€’ Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. β€’ Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. β€’ Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. β€’ Deep understanding and application of statistical analysis and advanced machine learning techniques. β€’ Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) β€’ Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. β€’ Experience with Vector Databases and embeddings. β€’ Experience with Model Fine-tuning. β€’ Experience with GPU optimization. Preferred Qualifications β€’ Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. β€’ Knowledge of geospatial analytics, route optimization, and GIS concepts. β€’ Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. β€’ Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. β€’ Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. β€’ Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level