Job Description
Join QuantumLeap Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to architect transformative solutions for Fortune 500 clients. Our cutting-edge lab combines quantum computing principles with machine learning to solve humanity's grand challenges. Work alongside Nobel laureates in a collaborative environment where your algorithms power life-saving medical breakthroughs and climate change mitigation strategies.
Enjoy unlimited research funding, flexible remote options, and quarterly hackathons in our Palo Alto campus. This role offers unparalleled growth opportunities in AI ethics, computational biology, and predictive modeling.
Responsibilities
- Design and implement advanced ML pipelines for real-time data processing at petabyte scale
- Lead cross-functional teams to deploy AI solutions in healthcare and climate science domains
- Develop novel NLP algorithms for genomic sequence analysis and drug discovery
- Optimize deep learning models using quantum-inspired computing frameworks
- Present findings to C-suite executives and publish research in top-tier journals
- Mentor junior scientists and drive innovation through quarterly R&D sprints
Qualifications
- PhD in Computer Science, Statistics, Computational Biology, or related field
- 8+ years of experience in production ML systems with Python/TensorFlow
- Published research in Nature, Science, or equivalent peer-reviewed journals
- Expertise in Bayesian inference and causal modeling for clinical trials
- Proficiency with distributed computing (Spark, Dask) and cloud platforms (AWS/GCP)
- Strong background in ethical AI frameworks and algorithmic fairness