Job Description
Join Nexus Analytics, a trailblazing AI research lab, to transform complex data into groundbreaking business solutions. We're seeking a visionary Senior Data Scientist to architect next-generation machine learning models that drive innovation for Fortune 500 clients. This role combines cutting-edge research with high-impact implementation in a collaborative, startup-culture environment.
Our ideal candidate thrives at the intersection of statistical rigor and creative problem-solving. You'll work with petabyte-scale datasets across healthcare, fintech, and e-commerce verticals, deploying solutions that directly influence strategic decisions. Enjoy competitive equity packages, unlimited learning stipends, and flexible work arrangements.
Responsibilities
- Design, develop, and deploy scalable machine learning pipelines for predictive analytics and optimization
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions
- Lead A/B testing frameworks and causal inference projects to quantify model impact
- Present insights to C-level stakeholders through compelling visualizations and narratives
- Mentor junior scientists and champion MLOps best practices
- Contribute to open-source projects and publish research in peer-reviewed journals
Qualifications
- Master's degree in Statistics, Computer Science, or related field (PhD preferred)
- 5+ years of experience in production-level ML systems using Python/R
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and distributed computing
- Strong statistical foundations: experimental design, Bayesian inference, and time-series analysis
- Portfolio demonstrating end-to-end projects from data ingestion to deployment
- Experience with cloud platforms (AWS/GCP/Azure) and containerization
- Excellent communication skills translating technical concepts to non-technical audiences