Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into game-changing business insights. We're seeking a visionary leader to drive our data strategy and build cutting-edge predictive models that shape the future of fintech innovation.
In this pivotal role, you'll collaborate with cross-functional teams to architect data solutions, implement advanced machine learning algorithms, and deliver actionable analytics that directly impact our product roadmap and customer experience.
Responsibilities
- Design and develop scalable machine learning models for fraud detection and risk assessment
- Lead end-to-end data science projects from hypothesis to deployment
- Create compelling data visualizations and executive dashboards using Python and Tableau
- Mentor junior data scientists and establish best practices in model validation
- Translate business objectives into data-driven solutions with measurable ROI
- Conduct A/B testing and statistical analysis to optimize product features
- Stay current with emerging AI/ML techniques and implement innovative approaches
Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in applied data science with production-level ML systems
- Expertise in Python (Pandas, Scikit-learn, TensorFlow) and SQL
- Proven track record of building predictive models in fintech or e-commerce
- Strong statistical knowledge and experimental design skills
- Experience with cloud platforms (AWS/GCP) and big data technologies
- Exceptional communication skills with ability to present complex findings to stakeholders