Job Description
Join Nexus Analytics as a Senior Data Scientist to transform complex business challenges into actionable insights. We're seeking a visionary expert to lead ML initiatives, build predictive models, and drive data-driven decision-making across our fintech portfolio. This role offers autonomy to innovate while collaborating with elite engineers and product strategists in a dynamic, fast-paced environment.
Responsibilities
- Design and implement end-to-end machine learning solutions for fraud detection, risk assessment, and customer behavior analysis
- Develop scalable data pipelines using Python, SQL, and cloud technologies (AWS/GCP)
- Create compelling data visualizations and executive dashboards using Tableau/Power BI
- Lead A/B testing frameworks and statistical analysis to optimize product features
- Mentor junior data scientists and champion data literacy initiatives
- Publish research findings in industry journals and conferences
Qualifications
- MS/PhD in Statistics, Computer Science, or quantitative field with 5+ years of applied ML experience
- Expertise in Python (scikit-learn, pandas) and SQL with proven production model deployment
- Strong statistical foundation in hypothesis testing, Bayesian inference, and experimental design
- Experience with big data ecosystems (Spark, Hadoop) and cloud ML platforms
- Portfolio showcasing 3+ complex ML projects with measurable business impact
- Exceptional communication skills translating technical concepts to stakeholders