Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform raw data into strategic business insights. We're seeking a visionary expert to architect cutting-edge ML solutions that drive innovation for Fortune 500 clients in fintech, healthcare, and e-commerce. Work in our state-of-the-art downtown San Francisco hub with flexible hybrid options and collaborate with elite data engineers and product strategists.
Why QuantumLeap? We offer industry-leading equity packages, unlimited learning stipends, and the chance to impact mission-critical projects used by millions. Our team includes PhDs from Stanford and MIT, and we're backed by $50M in Series C funding.
Responsibilities
- Design and implement end-to-end ML pipelines using Python, PyTorch, and TensorFlow
- Lead A/B testing frameworks and statistical modeling for product optimization
- Translate complex business problems into predictive solutions with measurable ROI
- Mentor junior data scientists and champion best practices in data governance
- Present findings to C-suite executives through compelling data visualizations
- Research and prototype novel algorithms for NLP and time-series forecasting
Qualifications
- 5+ years of hands-on experience in production-level ML systems
- Expertise in SQL, Python, and cloud platforms (AWS/GCP)
- Proven track record of publishing research in top-tier conferences (NeurIPS, ICML)
- Strong statistical modeling background with causal inference knowledge
- Experience with MLOps tools (MLflow, Kubeflow, Airflow)
- PhD or Master's in Statistics, Computer Science, or related field
- Portfolio demonstrating impactful data science projects