Job Description
Join Nexus Analytics as a Senior Data Scientist and lead transformative projects that redefine how global enterprises leverage data. Our AI-powered fintech platform serves 10M+ users, and you'll architect solutions that directly impact product innovation and revenue growth. Collaborate with cross-functional teams in a culture that values curiosity, experimentation, and data-driven excellence. Enjoy flexible work arrangements, comprehensive benefits, and opportunities to present at industry conferences.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and recommendation systems
- Translate complex business challenges into data science frameworks using Python, SQL, and cloud technologies
- Lead A/B testing frameworks and causal inference studies to drive product optimization
- Present findings to executive stakeholders through compelling data visualizations and storytelling
- Mentor junior scientists and foster innovation through hackathons and research publications
- Ensure ethical AI practices by auditing models for bias and compliance
Qualifications
- Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
- 5+ years of experience in production-level ML model deployment at scale
- Expertise in Python (scikit-learn, TensorFlow), SQL, and cloud platforms (AWS/GCP)
- Strong portfolio demonstrating end-to-end projects with measurable business impact
- Advanced knowledge of statistical modeling and experimental design
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines
- Excellent communication skills with ability to simplify complex concepts