

Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Washington, DC, lasting 12+ months, with a pay rate of "unknown." Requires 6+ years of AI/ML experience, advanced Python skills, and knowledge of cloud platforms, NLP, and statistical modeling.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
520
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ποΈ - Date discovered
July 31, 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
Washington, DC
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π§ - Skills detailed
#Cloud #AWS (Amazon Web Services) #Programming #"ETL (Extract #Transform #Load)" #Normalization #Data Science #Python #Data Analysis #ML (Machine Learning) #Computer Science #SpaCy #NLP (Natural Language Processing) #AI (Artificial Intelligence)
Role description
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Role : Senior Data Scientist
Location : Washington, DC.
Duration : 12+months
Job Description :
At least six years of hands-on experience developing, deploying, and maintaining AI/ML products within a large, professional, or academic organizations.
Bachelor s degree with specialization in a technology related field (Computer Science preferred, Master s preferred) from an accredited college or university, or equivalent combination of directly related education and/or experience.
Advanced proficiency in coding and experience in python and several other programming languages.
Advanced knowledge and understanding in statistical modeling and data analysis techniques, platforms, and software.
Advanced analytical and problem-solving skills.
Advanced knowledge of AI/ML, NLP and Generative AI technologies, frameworks, and solutions.
Advanced knowledge of cloud data platforms, technologies, frameworks, and solutions.
Demonstrated ability to work collaboratively with cross functional teams and communicate effectively with both technical and non-technical audiences.
Hands-on experience design, developing and deploying AI/ML products into a cloud environment.
Proficiency of existing and emerging trends within the AWS cloud environment
Expert proficiency in Python data science development.
Advanced experience with Natural Language Processing (NLP) techniques like Text Normalization, Named Entity Recognition, and Part-of-Speech (POS). Familiarity with more advanced techniques such as word embeddings. Specific experience popular AI/ML frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost.