Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into strategic business insights. We're seeking a visionary expert to architect cutting-edge machine learning solutions that drive innovation across our fintech portfolio. Collaborate with cross-functional teams to solve high-impact challenges while leveraging our state-of-the-art data infrastructure. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish research in top-tier journals.
Responsibilities
- Design and implement end-to-end ML pipelines for predictive analytics and recommendation systems
- Lead A/B testing frameworks and statistical modeling for product optimization
- Translate business requirements into technical solutions using Python, SQL, and Spark
- Mentor junior data scientists and establish best practices in model validation
- Present findings to executive stakeholders through compelling visualizations
- Contribute to R&D initiatives in NLP and time-series forecasting
Qualifications
- 5+ years of experience in data science with proven ML deployment success
- Expertise in Python, scikit-learn, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
- Strong statistical foundation with Bayesian inference and causal inference knowledge
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD for ML systems
- Publication record at conferences like NeurIPS or KDD preferred
- Master's degree in Computer Science, Statistics, or equivalent field