Apt

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Candidates need 2+ years of data science experience, a STEM degree, and expertise in statistics, machine learning, and data modeling tools like R, Python, and AWS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Birmingham, AL
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🧠 - Skills detailed
#Python #Statistics #"ETL (Extract #Transform #Load)" #Data Science #AWS (Amazon Web Services) #Data Modeling #ML (Machine Learning) #Spark (Apache Spark) #SAS #Deployment #R #Data Integrity
Role description
The Data Scientist will work in a well-structured, team environment acting as the predictive and prescriptive model development SME for the Analytics team. The consultant will be involved in all aspects of the model development life cycle, from business understanding and data preparation through modeling, evaluation, and deployment planning. Required Experience: • 2+ years of data science experience • Bachelor's degree in STEM discipline, healthcare administration, business, information technologies or a related field. • In-depth knowledge of statistics, probability, and machine learning with demonstrated professional experience • Experience creating and delivering predictive models in a production environment • Understanding of ETL, data warehousing, and advanced data modeling tools (e.g., R, Python, SAS, Spark, AWS) • Experience working closely with cross-functional teams and the ability to work on complex issues and influence stakeholders to drive consensus • Ability to recognize the problem statement and recommend appropriate advanced analytic solutions • Ability to clearly articulate data & data findings to others with different levels of data expertise • Strong attention to detail and the ability to ensure data integrity • Ability to be productive with minimal oversight