Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform raw data into actionable business intelligence. We're a fast-growing fintech startup revolutionizing predictive analytics for global enterprises. In this pivotal role, you'll architect machine learning solutions that directly impact our clients' revenue growth and operational efficiency. Collaborate with cross-functional teams to deliver cutting-edge data products while mentoring junior scientists. Our Austin hub offers flexible work arrangements, competitive equity packages, and access to state-of-the-art GPU infrastructure.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
- Translate complex business problems into data-driven solutions using Python, SQL, and cloud platforms
- Lead A/B testing frameworks and statistical analysis to drive product decisions
- Present findings to C-level stakeholders through compelling data visualizations and executive dashboards
- Mentor junior data scientists and establish best practices for data governance
- Stay current with emerging techniques in NLP, deep learning, and causal inference
Qualifications
- 5+ years of experience in data science or analytics with portfolio of production-level ML models
- Expertise in Python (scikit-learn, TensorFlow/PyTorch) and SQL with database optimization
- Strong statistical foundation with experience in experimental design and hypothesis testing
- Proven ability to translate business requirements into technical specifications
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Master's degree in Statistics, Computer Science, Mathematics, or related field
- Excellent communication skills with ability to articulate complex concepts to non-technical audiences