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 platform processes 10TB+ daily to power next-gen AI systems. You'll collaborate with elite engineers in our state-of-the-art downtown lab, where breakthroughs in predictive modeling and deep learning happen daily. Enjoy competitive benefits including equity, flexible work arrangements, and dedicated R&D time.
Responsibilities
- Design and implement machine learning pipelines for real-time analytics
- Leverage Python, PyTorch, and AWS to process complex datasets
- Lead A/B testing frameworks for product optimization
- Present findings to C-suite stakeholders via data visualizations
- Mentor junior scientists and publish research in top-tier journals
- Architect scalable cloud data solutions using AWS/GCP
- Drive innovation through patentable algorithm development
Qualifications
- PhD in Computer Science, Statistics, or related field
- 5+ years building production ML systems at scale
- Expertise in Python, SQL, and distributed computing (Spark)
- Proven track record with NLP/CV model deployment
- Strong publication record in NeurIPS/ICML/ICLR
- AWS/GCP certification preferred
- Experience with MLOps tools (MLflow, Kubeflow)
- Exceptional communication skills for technical/non-technical audiences