Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex datasets into actionable business intelligence. We're a cutting-edge data-driven organization revolutionizing predictive analytics for Fortune 500 clients. In this pivotal role, you'll architect machine learning pipelines, mentor junior scientists, and directly influence product strategy through data storytelling.
Our collaborative environment offers unparalleled access to petabyte-scale datasets and state-of-the-art cloud infrastructure. You'll work alongside industry veterans while developing solutions that impact millions of users globally.
Responsibilities
- Design and implement end-to-end ML solutions for business-critical problems
- Develop A/B testing frameworks and statistical models for product optimization
- Create executive-level data visualizations and presentations translating technical findings
- Lead cross-functional projects with engineering, product, and executive stakeholders
- Build scalable data pipelines using cloud-native technologies (AWS/GCP)
- Mentor junior data scientists and champion data literacy initiatives
Qualifications
- 5+ years of experience in data science or analytics with proven ML deployment history
- Expert proficiency in Python, SQL, and statistical programming (R/Python)
- Strong background in supervised/unsupervised learning and experimental design
- Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes)
- Demonstrable ability to translate complex technical concepts for non-technical audiences
- MS/PhD in quantitative field (Statistics, CS, Engineering) or equivalent practical experience