Job Description
Join QuantumLeap Analytics at the forefront of data innovation where science meets cutting-edge technology. We're seeking a visionary Senior Data Scientist to architect transformative solutions using advanced machine learning and statistical modeling. Drive product development with actionable insights while collaborating with elite engineers in our state-of-the-art downtown San Francisco lab. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish research in leading journals.
Responsibilities
- Design and implement scalable ML pipelines for predictive analytics and natural language processing
- Lead A/B testing frameworks and statistical analysis for product optimization
- Translate complex business challenges into data-driven solutions using Python, R, and Spark
- Mentor junior scientists and present findings to executive stakeholders
- Research novel algorithms to maintain competitive edge in AI/ML landscape
- Collaborate with engineering teams to deploy models into production environments
Qualifications
- PhD in Computer Science, Statistics, or related field with 5+ years industry experience
- Expert proficiency in Python (scikit-learn, TensorFlow) and SQL
- Proven track record of deploying ML models at scale in cloud environments (AWS/GCP)
- Strong publication record in top-tier conferences (NeurIPS, ICML, KDD)
- Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
- Demonstrable ability to communicate technical concepts to non-technical audiences