Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex business challenges into actionable insights. We're seeking a visionary expert to architect cutting-edge analytical solutions that drive strategic decision-making across our global enterprise. Collaborate with cross-functional teams to develop predictive models, optimize machine learning pipelines, and deliver data-driven narratives that shape our product roadmap.
In this pivotal role, you'll leverage state-of-the-art technologies including Python, TensorFlow, and cloud platforms to uncover hidden patterns in massive datasets. Your work will directly impact our AI-powered fintech platform, serving millions of users worldwide.
Responsibilities
- Design and implement end-to-end machine learning solutions for predictive analytics and customer segmentation
- Develop robust ETL pipelines and data warehousing strategies using AWS/GCP technologies
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Lead A/B testing frameworks to validate product hypotheses and optimize user experiences
- Present complex findings to C-level executives through compelling data narratives
- Mentor junior data scientists and champion best practices in data governance
Qualifications
- Master's degree in Statistics, Computer Science, or related quantitative field
- 5+ years of professional experience in data science or analytics roles
- Expert proficiency in Python (Pandas, Scikit-learn) and SQL
- Proven track record deploying production ML models at scale
- Strong statistical knowledge (hypothesis testing, regression analysis)
- Experience with cloud platforms (AWS SageMaker, GCP Vertex AI)
- Exceptional communication skills translating technical concepts to business impact