Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Baltimore, MD, on a contract basis for W2/1099. Candidates must have a Bachelor's degree, 8 years of data science experience, and expertise in NLP, AI/ML, and Python. Public Trust clearance required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Baltimore, MD
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🧠 - Skills detailed
#Pandas #Spark (Apache Spark) #Apache Spark #SQL (Structured Query Language) #Regular Expressions #SpaCy #Python #NumPy #Oracle #Hadoop #Model Deployment #TensorFlow #AI (Artificial Intelligence) #Langchain #SQL Server #Scala #EC2 #PyTorch #Database Management #Deployment #Azure #Programming #Web Services #MySQL #DevOps #Matplotlib #NLTK (Natural Language Toolkit) #Mathematics #NLP (Natural Language Processing) #Computer Science #Data Engineering #Data Science #Libraries #Data Analysis #GIT #Statistics #Airflow #AWS (Amazon Web Services) #Leadership #ML (Machine Learning) #Version Control
Role description
Role: Senior AI/ML Data Scientist
Location: Baltimore, MD, ON SITE - Must be on-site five days a week in Woodlawn, MD
Hire Type: Contract W2/1099
Only GC/USC
Basic Qualifications: Minimum knowledge, skills, abilities needed.
• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.
• Minimum 8 Year (s) of Data Scientist experience
• Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)
• Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
• Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
• Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
• Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
• Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
• Ability to clean and process large amounts of real-world data.
• Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
• Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
• Excellent analytical skills to identify potential risks and propose effective solutions.
• Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.
• Must be able to obtain and maintain a US Public Trust clearance.
Preferred Qualifications: Candidates with these skills will be given preferential consideration.
• Prior experience working on applications in the clinical domain.
• Prior experience with federal or state governments IT projects.
Role: Senior AI/ML Data Scientist
Location: Baltimore, MD, ON SITE - Must be on-site five days a week in Woodlawn, MD
Hire Type: Contract W2/1099
Only GC/USC
Basic Qualifications: Minimum knowledge, skills, abilities needed.
• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.
• Minimum 8 Year (s) of Data Scientist experience
• Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)
• Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
• Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
• Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
• Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
• Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
• Ability to clean and process large amounts of real-world data.
• Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
• Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
• Excellent analytical skills to identify potential risks and propose effective solutions.
• Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.
• Must be able to obtain and maintain a US Public Trust clearance.
Preferred Qualifications: Candidates with these skills will be given preferential consideration.
• Prior experience working on applications in the clinical domain.
• Prior experience with federal or state governments IT projects.
