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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataDriven Innovations Inc.
San Francisco
Salary Estimate
USD 150.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join our award-winning data team at DataDriven Innovations Inc., where we transform raw data into actionable business intelligence. As a Senior Data Scientist, you'll drive innovation by solving complex challenges in healthcare analytics, developing predictive models that directly impact patient outcomes and operational efficiency. Our collaborative culture values curiosity and technical excellence, offering cutting-edge resources and mentorship from industry leaders. Located in the heart of San Francisco's tech hub, you'll work with Fortune 500 clients to revolutionize healthcare delivery through data-driven solutions.

Responsibilities

  • Design and implement advanced machine learning models for predictive analytics in healthcare systems
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Lead end-to-end data science projects from data exploration to deployment
  • Develop scalable data pipelines using cloud technologies (AWS/GCP)
  • Communicate complex findings to non-technical stakeholders through compelling visualizations
  • Mentor junior data scientists and champion best practices in MLOps

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in applied data science with proven impact in healthcare analytics
  • Expertise in Python, SQL, and statistical modeling frameworks (scikit-learn, TensorFlow)
  • Strong portfolio demonstrating end-to-end ML project delivery
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker)
  • Excellent communication skills with ability to translate insights for executive audiences

Required Skills

Python SQL Machine Learning TensorFlow AWS Data Visualization Statistical Modeling Healthcare Analytics MLOps

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