Job Description
Join QuantumLeap Analytics, a trailblazing AI-first company revolutionizing healthcare analytics. We seek a visionary Senior Data Scientist to architect cutting-edge predictive models that transform patient outcomes. Our team leverages petabyte-scale datasets to drive breakthroughs in personalized medicine. Work in a collaborative environment where your insights directly impact life-saving innovations. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research.
Responsibilities
- Design and implement advanced ML pipelines for real-time healthcare analytics
- Lead end-to-end data science projects from hypothesis to production deployment
- Collaborate with cross-functional teams to translate business challenges into data solutions
- Develop novel algorithms for predictive modeling and causal inference
- Communicate complex findings to executive stakeholders through compelling visualizations
- Mentor junior scientists and champion best practices in data governance
- Research and integrate emerging AI technologies into product roadmaps
Qualifications
- PhD or Master's in Data Science, Statistics, Computer Science, or related field
- 5+ years of hands-on experience in applied data science roles
- Expert proficiency in Python (scikit-learn, TensorFlow/PyTorch) and SQL
- Proven track record of deploying production ML systems at scale
- Strong background in statistical modeling and experimental design
- Experience with healthcare data (EHRs, genomics, or clinical trials)
- Exceptional communication skills with executive audiences
- Published research in top-tier ML/healthcare conferences preferred