Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this pivotal role, you'll architect cutting-edge ML solutions, collaborate with cross-functional teams, and drive measurable impact across our fintech platform. Our dynamic environment offers unparalleled opportunities to shape the future of financial analytics while working with state-of-the-art technologies.
What makes Nexus Analytics exceptional? We foster a culture of intellectual curiosity where your ideas directly influence product evolution. You'll have access to petabyte-scale datasets and mentorship from industry veterans while solving real-world challenges in fraud detection, risk modeling, and personalization.
Responsibilities
- Design and implement advanced ML algorithms for predictive analytics and anomaly detection
- Lead end-to-end data science projects from hypothesis to production deployment
- Collaborate with engineering teams to integrate models into scalable cloud infrastructure
- Translate complex findings into compelling visualizations for C-level stakeholders
- Develop A/B testing frameworks to validate model performance and business impact
- Mentor junior data scientists and champion best practices in model governance
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of applied data science experience with production ML systems
- Expertise in Python (scikit-learn, TensorFlow/PyTorch) and SQL
- Proven track record of building predictive models for fintech or e-commerce
- Strong statistical knowledge (experimental design, causal inference)
- Experience with cloud platforms (AWS/GCP) and MLOps tools
- Exceptional communication skills translating technical concepts to business audiences