Job Description
Join QuantumLeap Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions that transform complex datasets into strategic business insights. In this high-impact role, you'll collaborate with cross-functional teams to develop predictive models, optimize machine learning pipelines, and drive data culture across our organization. Our San Francisco headquarters offers state-of-the-art facilities, competitive compensation, and unparalleled opportunities to shape the future of data science.
Responsibilities
- Design and implement advanced ML models for predictive analytics and business intelligence
- Leverage big data technologies (Spark, Hadoop) to process terabyte-scale datasets
- Translate complex data findings into actionable recommendations for C-suite executives
- Develop A/B testing frameworks to validate model performance and business impact
- Mentor junior data scientists and establish best practices for data governance
- Publish research in leading industry journals and present at conferences
- Collaborate with engineering teams to deploy models into production environments
Qualifications
- PhD or Master's in Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in applied data science and ML model development
- Expert proficiency in Python, R, and SQL with strong algorithmic knowledge
- Proven track record with deep learning frameworks (TensorFlow, PyTorch)
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Strong business acumen with ability to translate technical findings to ROI
- Published research in peer-reviewed journals or top-tier conferences