Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex datasets into actionable business insights. We're seeking a visionary leader to drive our data strategy, innovate machine learning solutions, and influence product decisions. At Nexus, you'll collaborate with elite engineers and product teams to solve real-world challenges in healthcare analytics. Our culture combines cutting-edge research with practical application, offering unparalleled growth opportunities in a dynamic environment.
Responsibilities
- Develop and deploy advanced ML models for predictive analytics and pattern recognition
- Lead end-to-end data science projects from hypothesis to production implementation
- Collaborate with cross-functional teams to translate business problems into data solutions
- Design robust A/B testing frameworks and conduct statistical analysis
- Present findings to executive stakeholders through compelling visualizations
- Mentor junior scientists and establish best practices in model validation
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of experience in applied data science with production ML systems
- Expertise in Python (Scikit-learn, TensorFlow/PyTorch) and SQL
- Strong statistical modeling background (regression, classification, time series)
- Proven ability to communicate technical concepts to non-technical audiences
- Experience with cloud platforms (AWS/GCP) and big data technologies
- Portfolio demonstrating impactful data science projects