Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a long-term contract in St. Pete, FL & Denver, CO (hybrid). Requires 8+ years of experience, strong Python and SQL skills, and expertise in Machine Learning and NLP. W2 only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
St. Petersburg, FL
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🧠 - Skills detailed
#Python #Statistics #ML (Machine Learning) #Unix #SQL (Structured Query Language) #Agile #Big Data #NLP (Natural Language Processing) #Data Science #Scripting
Role description
Job Type: Long-term Contract with Conversion possibility Job Location: St. Pete, FL & Denver, CO (hybrid with 2-3 days Onsite) β€’ Required to work on W2 Only- Green Card Holders & US Citizen β€’ Job Responsibilities: This Lead Data Scientist will support the development of advanced decision support systems by employing advanced techniques from data analytics (including statistical analysis) and Machine Learning, particularly including NLP. The successful candidate will join an innovative and energetic team that develops capabilities that improve the performance of our business units and make them more efficient. This is a hands-on role in which the Data Scientist is expected to carry out a project from start to finish. Required Skills/ Experience: β€’ Minimum of a Bachelor's degree and 8+ years of relevant experience or combination of education, training and experience. β€’ Strong experience with Focused on GenAI, validations, Improving accuracy. β€’ Strong knowledge of Machine Learning techniques, including NLP. β€’ Knowledge of statistics, including hypothesis testing β€’ Strong Python skills β€’ Proficient in SQL β€’ Comfortable with Unix scripting β€’ Experience building models that actually delivered value to a business β€’ Experience deploying systems to a production environment β€’ Experience working in an Agile environment β€’ Working knowledge of β€œbig data” technology.