Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and lead transformative ML initiatives that drive business innovation. We're seeking a visionary expert to architect predictive models, extract actionable insights from complex datasets, and shape our AI roadmap. Collaborate with cross-functional teams to solve high-impact challenges in fintech, healthcare, and climate tech while mentoring junior scientists. Enjoy competitive compensation, flexible work arrangements, and cutting-edge resources in our state-of-the-art downtown San Francisco headquarters.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and NLP applications
- Conduct advanced statistical analysis and A/B testing to validate model performance
- Translate business requirements into data-driven solutions using Python, PyTorch, and cloud platforms
- Lead model deployment and monitoring in production environments (AWS/GCP)
- Present findings to executive stakeholders through compelling visualizations and reports
- Mentor junior data scientists and foster collaborative innovation
- Stay current with emerging ML techniques and industry best practices
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of applied ML experience with production-level model deployment
- Expertise in Python (scikit-learn, pandas) and SQL with terabyte-scale datasets
- Strong foundation in statistical modeling and experimental design
- Proven ability to translate complex technical concepts for non-technical audiences
- Experience with cloud ML services (SageMaker, Vertex AI) and MLOps practices
- Portfolio demonstrating 3+ impactful ML projects with measurable business outcomes
- Preferred background in fintech or healthcare analytics