Job Description
Join QuantumLeap Analytics at the forefront of data innovation for 2026! We're seeking visionary Data Scientists to architect next-generation AI solutions that will redefine industries. Work in our state-of-the-art San Francisco hub alongside pioneers in quantum computing and predictive analytics. This is your chance to shape the future of data-driven decision-making while enjoying unparalleled benefits and growth opportunities.
Responsibilities
- Develop cutting-edge ML models for predictive analytics and quantum data processing
- Lead cross-functional teams in deploying AI solutions for Fortune 500 clients
- Design real-time data pipelines processing 10TB+ daily data streams
- Research and implement novel algorithms for anomaly detection in emerging tech ecosystems
- Present findings to C-suite executives using interactive visualizations and storytelling
- Mentor junior scientists on ethical AI frameworks and responsible data practices
- Collaborate with hardware engineers to optimize quantum-classical hybrid systems
Qualifications
- PhD or MS in Data Science, Computer Science, or related field (2020-2026 graduates preferred)
- Expert proficiency in Python, TensorFlow, and PyTorch frameworks
- Published research in top-tier journals (NeurIPS, ICML) or conference proceedings
- Experience with quantum computing APIs (Qiskit, Cirq) or quantum machine learning
- Proven track record deploying production ML systems handling petabyte-scale data
- Strong background in statistical modeling and causal inference methodologies
- Fluency in cloud platforms (AWS/GCP/Azure) with serverless architecture expertise
- Portfolio demonstrating 3+ end-to-end data science projects from concept to deployment