Job Description
Join Nexus Analytics at the forefront of data innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this pivotal role, you'll architect cutting-edge machine learning models, collaborate with cross-functional teams to solve high-impact challenges, and drive data-driven decision-making across our global operations. Our dynamic startup environment offers unparalleled opportunities to shape the future of AI in healthcare while working alongside industry experts who share your passion for innovation.
Responsibilities
- Design and implement advanced ML algorithms to predict patient outcomes and optimize healthcare delivery
- Lead end-to-end data science projects from hypothesis to deployment using cloud-native infrastructure
- Translate complex analytical findings into compelling narratives for executive stakeholders
- Develop robust data pipelines and ETL processes for multi-source healthcare datasets
- Mentor junior data scientists and champion best practices in model validation
- Collaborate with engineering teams to integrate models into production environments
- Conduct A/B testing and experimental design to validate business hypotheses
Qualifications
- PhD or Master's in Statistics, Computer Science, or related quantitative field
- 5+ years of applied data science experience in healthcare or regulated industries
- Expert proficiency in Python, SQL, and ML frameworks (TensorFlow/PyTorch)
- Proven track record of deploying production-level ML models at scale
- Strong statistical modeling skills with experimental design expertise
- Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes)
- Exceptional communication skills for translating technical concepts to non-technical audiences