Altak Group Inc.
Data Science Manager
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Manager with 7+ years of experience, including 2+ in leadership, focusing on AI/ML in healthcare. Contract length and pay rate are unspecified. Key skills include Python, SQL, and ML frameworks; healthcare dataset experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
February 10, 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
Maryland, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #SQL (Structured Query Language) #Leadership #NLP (Natural Language Processing) #Python #AWS (Amazon Web Services) #Deep Learning #Monitoring #PyTorch #TensorFlow #ML (Machine Learning) #Data Science #Cloud #GCP (Google Cloud Platform) #Statistics #Azure #Predictive Modeling #Datasets #Strategy
Role description
Required Qualifications
• 7+ years of experience in Data Science, with 2+ years in a people or technical leadership role
• Strong experience applying AI/ML in healthcare, life sciences, or regulated environments
• Hands-on expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Proven experience with healthcare datasets (EHR, claims, imaging, clinical, or real-world data)
• Solid understanding of statistics, predictive modeling, NLP, and deep learning
• Experience deploying models in production environments (cloud-based preferred)
• Strong business acumen with the ability to align AI strategy with organizational goals
Nice to Have
• Experience with Generative AI, LLMs, or clinical NLP use cases
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with MLOps, CI/CD pipelines, and model monitoring tools
• Prior experience working with cross-functional healthcare stakeholders
Required Qualifications
• 7+ years of experience in Data Science, with 2+ years in a people or technical leadership role
• Strong experience applying AI/ML in healthcare, life sciences, or regulated environments
• Hands-on expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Proven experience with healthcare datasets (EHR, claims, imaging, clinical, or real-world data)
• Solid understanding of statistics, predictive modeling, NLP, and deep learning
• Experience deploying models in production environments (cloud-based preferred)
• Strong business acumen with the ability to align AI strategy with organizational goals
Nice to Have
• Experience with Generative AI, LLMs, or clinical NLP use cases
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with MLOps, CI/CD pipelines, and model monitoring tools
• Prior experience working with cross-functional healthcare stakeholders
