

Senior Data Science Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Science Analyst with a 9+ years experience, focusing on machine learning in healthcare. It offers a remote contract, requiring expertise in Python, Vertex AI, SQL, and GCP. A bachelor’s degree is essential; a master’s is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Deployment #Python #Leadership #Statistics #Compliance #Storage #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Computer Science #Libraries #Model Validation #Data Analysis #TensorFlow #Data Integrity #SQL (Structured Query Language) #Pandas #BigQuery #Datasets #Cloud #Data Science #PyTorch #Data Pipeline #Monitoring #ML (Machine Learning)
Role description
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Job Description:
Senior Data Science Analyst | Remote
Optomi, in partnership with a global leader in the healthcare industry, is seeking a Senior Data Science Analyst to join their team. You will be instrumental in developing, deploying, and maintaining advanced machine learning models using Google Cloud’s Vertex AI, Python, and other cloud-native tools. Your work will directly impact patient care, research, and clinical decision-making across the organization.
What the right candidate will have:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field (Master’s preferred).
• 9+ years of professional experience in data analytics or data science roles, with strong applied machine learning skills.
• Hands-on experience using Vertex AI for model training, deployment, and monitoring in production environments.
• Proficiency in Python for data analysis and modeling, including use of libraries such as Pandas, scikit-learn, and TensorFlow or PyTorch.
• Experience with SQL and cloud data platforms (preferably GCP BigQuery, Cloud Storage, etc.).
• Strong problem-solving skills, business acumen, and the ability to explain technical concepts clearly.
Responsibilities of the right candidate:
• Develop, analyze, and interpret large-scale datasets to uncover actionable insights in clinical care, operations, and research.
• Design and deploy predictive models and machine learning workflows using Vertex AI and Python.
• Build and maintain data pipelines and MLOps infrastructure on Google Cloud Platform (GCP).
• Communicate complex technical results to non-technical audiences, including clinicians and healthcare leadership.
• Partner with stakeholders to define analytics needs, scope projects, and deliver measurable impact.
• Ensure data integrity, model validation, and compliance with healthcare data standards and privacy requirements (HIPAA, PHI).
• Collaborate with teams to promote best practices in data science, reproducibility, and responsible AI.