Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into groundbreaking business solutions. We're seeking a visionary expert to lead ML initiatives that drive product innovation and strategic decision-making across our fintech portfolio. Collaborate with cross-functional teams to architect scalable data pipelines and deploy cutting-edge AI models that impact millions of users.
At QuantumLeap, you'll leverage our state-of-the-art data infrastructure and work alongside industry pioneers to solve real-world challenges. We offer competitive equity packages, flexible remote options, and dedicated learning resources to accelerate your career growth.
Responsibilities
- Design and implement end-to-end ML solutions for predictive analytics and personalization systems
- Lead A/B testing frameworks and causal inference projects to measure product impact
- Develop production-grade data pipelines using Spark and cloud-native technologies
- Mentor junior scientists and establish best practices for model validation
- Translate technical findings into actionable business insights for executive stakeholders
- Research and integrate emerging NLP/computer vision techniques for product innovation
Qualifications
- 5+ years of applied data science experience with Python/R and SQL
- Expertise in ML frameworks (TensorFlow, PyTorch) and statistical modeling
- Proven track record deploying ML systems at scale (AWS/GCP/Azure)
- Advanced degree in quantitative field (MS/PhD in CS, Stats, Math)
- Strong communication skills presenting technical concepts to non-technical audiences
- Portfolio demonstrating published papers or open-source contributions