Gravity IT Resources

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a 6-month remote contract, with a pay rate of "unknown." Requires 5+ years of experience in Data Science, proficiency in Python and SQL, and strong skills in machine learning, particularly unsupervised techniques.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
656
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πŸ—“οΈ - Date
October 15, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Deployment #Supervised Learning #SaaS (Software as a Service) #Data Analysis #Classification #Data Science #Python #Unsupervised Learning #ML (Machine Learning) #SQL (Structured Query Language)
Role description
Title: Data Scientist Location: Remote Type: 6-Month Contract (with potential for 1+ year extension) Overview: We’re seeking a Data Scientist to join our team and contribute to innovative ML-driven initiatives, including CX Elevateβ€”an enterprise program developing customer self-service agents. This role focuses on designing, training, and validating machine learning models beyond LLMs, translating technical insights into measurable business outcomes. Key Responsibilities: β€’ Perform exploratory data analysis and hypothesis-driven testing β€’ Design and develop machine learning models (MLPs, not just LLMs) β€’ Build and test classification models using techniques like UMAP and other unsupervised algorithms β€’ Develop proof-of-concepts (POCs) for new model designs β€’ Work closely with stakeholders to understand business problems and translate them into data science solutions Qualifications: β€’ 5+ years of experience in Data Science. β€’ Python and SQL (hands-on coding) β€’ Strong background in Machine Learning (ML) and Large Language Models (LLMs) β€’ Experience with unsupervised learning and advanced ML techniques β€’ Familiarity with various ML packages and services (more than just GenAI) β€’ Experience with ML frameworks, model experimentation, and deployment workflows. β€’ Excellent communication and problem-solving skills. β€’ Ability to translate technical findings into business value β€’ SaaS experience is a plus but not required