Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform raw data into actionable business intelligence. We're seeking a visionary expert to architect cutting-edge ML solutions that drive innovation and growth in our fintech ecosystem. Collaborate with cross-functional teams to solve complex challenges using advanced analytics and predictive modeling. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish industry-leading research.
Responsibilities
- Design and implement scalable machine learning pipelines for predictive analytics
- Lead end-to-end data science projects from hypothesis to deployment
- Develop statistical models to optimize business KPIs and customer experience
- Translate technical findings into strategic recommendations for C-level executives
- Maintain robust data infrastructure and ensure model governance compliance
- Mentor junior data scientists and foster collaborative innovation
Qualifications
- PhD or Master's in Statistics, Computer Science, or related field
- 5+ years of professional data science experience in production environments
- Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP)
- Advanced knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proven track record of deploying ML models at scale
- Strong business acumen and data storytelling abilities
- Published research in peer-reviewed journals or conferences