Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into strategic business solutions. We're a cutting-edge AI-driven fintech company revolutionizing financial services through predictive analytics. You'll collaborate with cross-functional teams to build scalable ML models, drive product innovation, and directly impact our 2M+ global users.
We offer competitive equity packages, flexible remote work options, and a culture of continuous learning. Our state-of-the-art San Francisco headquarters features hackathons, research labs, and mentorship programs to accelerate your career growth.
Responsibilities
- Develop and deploy production-ready ML models for fraud detection and risk assessment
- Analyze terabyte-scale datasets using distributed computing frameworks (Spark/Hadoop)
- Create data visualizations and executive dashboards using Tableau/Power BI
- Lead A/B testing and experimental design for product optimization
- Mentor junior data scientists and champion best practices in MLOps
- Present findings to C-suite stakeholders and translate insights into action
Qualifications
- 5+ years of experience in data science with Python/R and SQL
- Advanced degree in Statistics, Computer Science, or related field
- Expertise in ML algorithms (XGBoost, Neural Networks, NLP)
- Experience with cloud platforms (AWS/GCP/Azure) and containerization
- Strong statistical foundation in hypothesis testing and causal inference
- Portfolio demonstrating end-to-end data science projects
- Excellent communication skills with technical and non-technical audiences