Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into strategic business insights. We're seeking a visionary expert to architect cutting-edge solutions using advanced machine learning and statistical modeling. Drive innovation at our AI-powered fintech hub in the heart of San Francisco's tech ecosystem. Collaborate with cross-functional teams to build scalable data products that impact millions of users globally.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and business intelligence
- Lead A/B testing frameworks and experimentation methodologies to optimize product performance
- Translate complex data findings into actionable recommendations for executive stakeholders
- Mentor junior data scientists and foster a culture of data-driven decision making
- Develop real-time data processing solutions using cloud-native technologies (AWS/GCP)
- Collaborate with engineering teams to deploy models into production environments
Qualifications
- MS/PhD in Statistics, Computer Science, Mathematics, or related quantitative field
- 5+ years of experience in applied data science with production-level ML systems
- Expert proficiency in Python, SQL, and statistical modeling (scikit-learn, TensorFlow)
- Proven track record of delivering data products that impact business KPIs
- Strong knowledge of cloud platforms (AWS/GCP) and big data technologies (Spark, Kafka)
- Exceptional communication skills with ability to articulate technical concepts to non-technical audiences