Job Description
Join Nexus Analytics as a Senior Data Scientist to architect transformative solutions for Fortune 500 clients. We're pioneering AI-driven decision intelligence platforms that reshape industries. Collaborate with elite engineers and domain experts to convert complex data into strategic gold. Our culture blends academic rigor with startup agility – where your research directly impacts global business outcomes.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and NLP applications
- Lead statistical analysis and A/B testing frameworks to optimize product features
- Develop real-time data processing systems using cloud-native architectures (AWS/GCP)
- Translate business challenges into data-driven solutions with measurable ROI
- Mentor junior scientists and evangelize data literacy across departments
- Publish research in peer-reviewed journals and industry conferences
Qualifications
- PhD in Statistics, Computer Science, or related field with 5+ years industry experience
- Expertise in Python (scikit-learn, PyTorch) and SQL with billion-record datasets
- Proven track record deploying ML models at scale in production environments
- Strong theoretical foundation in Bayesian inference and causal inference
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD for ML
- Excellent communication skills for presenting technical concepts to executives