Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to architect transformative solutions that power our AI platform. Collaborate with elite engineers and product strategists to extract actionable insights from complex datasets. Shape the future of predictive analytics while working on high-impact projects in healthcare technology. Enjoy competitive benefits, flexible work arrangements, and continuous learning opportunities in our dynamic startup environment.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
- Collaborate with cross-functional teams to translate business requirements into analytical solutions
- Develop advanced statistical models using Python, R, and SQL to optimize product performance
- Create compelling data visualizations and dashboards for executive stakeholders
- Lead A/B testing frameworks and experimental design for product iterations
- Maintain robust data infrastructure and ensure model scalability
- mentor junior data scientists and foster best practices in analytics
Qualifications
- Master's or 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
- Proven track record of translating complex data into business impact
- Strong statistical modeling background (regression, time series, clustering)
- Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
- Excellent communication skills with ability to present to non-technical audiences