Job Description
Join QuantumLeap Analytics, a pioneering AI-first company transforming industries through data-driven innovation. We're seeking a Senior Data Scientist to architect cutting-edge solutions that power our predictive analytics platform. In this pivotal role, you'll collaborate with cross-functional teams to extract actionable insights from complex datasets, drive machine learning model deployments, and shape our data strategy. Enjoy competitive compensation, flexible work arrangements, and the opportunity to impact millions of users worldwide.
Responsibilities
- Develop and deploy scalable ML models for predictive analytics and automation
- Design and implement data pipelines for real-time processing of large datasets
- Translate business requirements into data science solutions using statistical methods
- Lead A/B testing frameworks to validate model performance and business impact
- Present findings to executive stakeholders through compelling data visualizations
- Mentor junior data scientists and champion best practices in model governance
Qualifications
- 5+ years of experience in applied data science or ML engineering
- Advanced degree in Statistics, Computer Science, or related field
- Expertise in Python (scikit-learn, TensorFlow/PyTorch) and SQL
- Strong foundation in statistical modeling and experimental design
- Proven track record deploying production-grade ML systems
- Experience with cloud platforms (AWS/GCP/Azure) and containerization
- Exceptional communication skills for technical and non-technical audiences