Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex datasets into actionable business insights. We're seeking a visionary expert to drive our data-driven culture forward, leveraging cutting-edge technologies to solve real-world challenges in healthcare analytics. At Nexus, you'll collaborate with cross-functional teams to build predictive models, optimize algorithms, and deliver scalable solutions that impact millions of lives. Enjoy competitive benefits, flexible work arrangements, and opportunities to present at industry conferences.
Responsibilities
- Design and implement end-to-end machine learning pipelines for healthcare predictive modeling
- Lead A/B testing frameworks to validate data-driven strategies and optimize business outcomes
- Translate complex statistical findings into executive-ready visualizations and presentations
- Mentor junior data scientists and establish best practices for data governance
- Collaborate with engineering teams to deploy models into production environments
- Research emerging AI techniques and evaluate their applicability to business challenges
Qualifications
- Master's degree in Statistics, Computer Science, or related field (PhD preferred)
- 5+ years of experience in applied data science with healthcare industry focus
- Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP)
- Strong portfolio demonstrating complex ML model development and deployment
- Deep understanding of statistical methodologies and experimental design
- Experience with healthcare data compliance (HIPAA, FHIR standards)
- Proven ability to communicate technical concepts to non-technical stakeholders