Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and revolutionize how businesses leverage data intelligence. We're seeking an innovative expert to architect cutting-edge ML solutions that drive strategic decision-making across Fortune 500 clients. Work in our state-of-the-art AI lab where your algorithms will power real-world applications in healthcare, finance, and autonomous systems.
Why QuantumLeap? We offer equity packages, unlimited PTO, and $10k annual learning stipends. Our team of Nobel laureates and Turing Award winners collaborates with MIT and Stanford on breakthrough research.
Responsibilities
- Design and implement scalable ML pipelines processing 10TB+ datasets daily
- Lead A/B testing frameworks for predictive modeling initiatives
- Translate complex business problems into statistical solutions
- Mentor junior scientists on research methodology and ethics
- Present findings to executive stakeholders via interactive dashboards
- Publish 2+ peer-reviewed papers annually in Nature/Science journals
Qualifications
- PhD in Computer Science, Statistics, or related field (MS with 5+ years experience)
- Expertise in Python, PyTorch, and distributed computing (Spark/Dask)
- Proven track record deploying production-grade ML models
- Strong academic background in probabilistic modeling or NLP
- Experience with cloud platforms (AWS/GCP/Azure) and CI/CD
- Published research in top-tier conferences (NeurIPS, ICML, KDD)