Job Description
Join Nexus Analytics as a Senior Data Scientist and transform raw data into strategic business intelligence. We're seeking a visionary expert to architect cutting-edge ML solutions that drive our fintech platform's next evolution. Collaborate with elite engineers and product leaders to build predictive models that impact millions of users. Enjoy flexible work arrangements, comprehensive benefits, and a culture of innovation in the heart of Silicon Valley.
Responsibilities
- Design and implement advanced machine learning algorithms for fraud detection and personalized user experiences
- Lead end-to-end data science projects from hypothesis to production deployment
- Analyze terabyte-scale datasets using distributed computing frameworks (Spark, Hadoop)
- Translate complex findings into actionable business recommendations for C-suite stakeholders
- Mentor junior data scientists and champion best practices in model validation
- Architect data pipelines ensuring scalability and real-time processing capabilities
Qualifications
- PhD or Master's in Data Science, Computer Science, Statistics, or related field
- 5+ years of applied ML experience with proven production-level deployments
- Expert proficiency in Python, R, SQL, and cloud platforms (AWS/GCP)
- Deep knowledge of statistical modeling, NLP, and deep learning frameworks
- Strong A/B testing methodology experience and causal inference expertise
- Portfolio showcasing impactful data science projects with measurable ROI