Altak Group Inc.
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Requires 5+ years in data science, 2+ years in healthcare analytics, proficiency in Python and SQL, and knowledge of healthcare data compliance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
March 24, 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
Virginia, United States
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🧠 - Skills detailed
#Computer Science #Statistics #Mathematics #Pandas #PyTorch #SQL (Structured Query Language) #Python #Security #ML (Machine Learning) #TensorFlow #Data Science #Compliance #Datasets #NumPy #Data Privacy #Libraries
Role description
Required Qualifications
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Biomedical Informatics, or a related field (PhD is a plus).
• 5+ years of hands-on experience in data science, with at least 2+ years working on healthcare data or healthcare analytics projects.
• Strong proficiency in Python and SQL; experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar.
• Solid understanding of machine learning algorithms, statistical modeling, and experimentation techniques.
• Experience working with healthcare datasets such as EHR/EMR, claims, lab results, medical codes (ICD-10, CPT, HCPCS, SNOMED).
• Knowledge of data privacy, security, and compliance requirements in healthcare.
• Strong analytical thinking, problem-solving skills, and attention to detail.
Required Qualifications
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Biomedical Informatics, or a related field (PhD is a plus).
• 5+ years of hands-on experience in data science, with at least 2+ years working on healthcare data or healthcare analytics projects.
• Strong proficiency in Python and SQL; experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar.
• Solid understanding of machine learning algorithms, statistical modeling, and experimentation techniques.
• Experience working with healthcare datasets such as EHR/EMR, claims, lab results, medical codes (ICD-10, CPT, HCPCS, SNOMED).
• Knowledge of data privacy, security, and compliance requirements in healthcare.
• Strong analytical thinking, problem-solving skills, and attention to detail.
