Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and drive transformative insights that shape the future of fintech innovation. We're seeking a visionary expert to architect cutting-edge solutions using advanced machine learning and statistical modeling. Collaborate with cross-functional teams to translate complex data into actionable strategies that impact millions of users. Our culture champions intellectual curiosity, continuous learning, and ethical AI practices.
Why QuantumLeap? Competitive equity package, flexible work arrangements, and access to industry-leading datasets. Work in our state-of-the-art downtown San Francisco hub with breathtaking bay views.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and recommendation systems
- Develop statistical models to optimize risk assessment and fraud detection algorithms
- Lead A/B testing frameworks to quantify business impact of data-driven initiatives
- Present complex findings to executive stakeholders through compelling visualizations and narratives
- Mentor junior data scientists and establish best practices for data governance
- Research and prototype emerging AI techniques to maintain competitive advantage
Qualifications
- 5+ years of experience in data science with proven portfolio of deployed ML models
- Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure)
- Advanced knowledge of statistical modeling, time series analysis, and NLP
- Master's or PhD in Statistics, Computer Science, or related quantitative field
- Experience with MLOps tools (Airflow, Kubeflow, MLflow)
- Demonstrated ability to translate business problems into technical solutions
- Strong communicator with executive presentation experience