Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into game-changing business insights. We're a fast-growing AI innovator solving real-world problems through cutting-edge machine learning and predictive analytics. You'll collaborate with cross-functional teams to develop scalable solutions that drive measurable impact across finance, healthcare, and e-commerce sectors. Our culture champions intellectual curiosity, continuous learning, and work-life balance in a state-of-the-art downtown San Francisco office.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
- Translate business requirements into robust data science solutions using Python, R, and SQL
- Lead A/B testing frameworks and statistical analysis to drive product optimization
- Present findings to executive stakeholders through compelling data visualizations and storytelling
- Mentor junior data scientists and champion best practices in model validation and deployment
- Research and implement novel deep learning techniques for time series forecasting
Qualifications
- 5+ years of experience in applied data science with proven impact in production environments
- Expertise in Python (scikit-learn, TensorFlow/PyTorch) and statistical modeling
- Strong SQL proficiency and experience with big data technologies (Spark, Hadoop)
- Master's degree in Data Science, Statistics, Computer Science, or related field
- Portfolio demonstrating end-to-end projects with clear business outcomes
- Experience with cloud platforms (AWS/GCP) and MLOps tools
- Exceptional communication skills translating complex concepts to non-technical audiences