Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into strategic business solutions. We're seeking a visionary expert to lead our data-driven initiatives in a dynamic, collaborative environment. You'll architect cutting-edge ML models, uncover hidden patterns in terabyte-scale datasets, and directly influence product innovation. Our team combines academic rigor with startup agility, offering unparalleled opportunities to shape the future of predictive analytics.
Responsibilities
- Design and implement scalable machine learning models for predictive analytics and business intelligence
- Lead end-to-end data science projects from hypothesis to production deployment
- Collaborate with engineering teams to integrate models into cloud infrastructure
- Develop A/B testing frameworks to validate model performance and business impact
- Translate technical findings into actionable insights for C-suite stakeholders
- Mentor junior data scientists and champion best practices in data ethics
Qualifications
- MS/PhD in Computer Science, Statistics, or related quantitative field
- 5+ years of applied data science experience with production-level ML systems
- Expert proficiency in Python (Scikit-learn, TensorFlow/PyTorch) and SQL
- Strong statistical modeling background with experimental design expertise
- Proven ability to communicate complex technical concepts to non-technical audiences
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools