

ThoughtStorm
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with an active TS/SCI clearance, requiring a Bachelor's degree and four years of experience in data science. Key skills include proficiency in Python, SQL, R, and experience with analytic solutions and visualization tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
640
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ποΈ - Date
July 23, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Yes
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π - Location detailed
Arlington, VA
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π§ - Skills detailed
#Pandas #Deployment #Data Ingestion #SQL (Structured Query Language) #Python #R #Visualization #Data Science #ML (Machine Learning) #OpenCV (Open Source Computer Vision Library) #Statistics #Computer Science #Calculus #NumPy #Mathematics #Signal Processing #GIT
Role description
Active TS/SCI clearance.
Bachelorβs degree in Data Science, Computer Science, Engineering, or related field.
A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting.
Strong mathematics background in Statistics, Graph Theory, Probability, or Calculus to develop and test algorithms and models .
Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
Experience in building end-to-end analytic solutionsβfrom data ingestion to deploymentβand data visualization tools.
Exposure to signal processing, computer vision, or geospatial analytics projects.
Active TS/SCI clearance.
Bachelorβs degree in Data Science, Computer Science, Engineering, or related field.
A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting.
Strong mathematics background in Statistics, Graph Theory, Probability, or Calculus to develop and test algorithms and models .
Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
Experience in building end-to-end analytic solutionsβfrom data ingestion to deploymentβand data visualization tools.
Exposure to signal processing, computer vision, or geospatial analytics projects.






