Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and lead transformative AI initiatives at the intersection of cutting-edge technology and business innovation. We're seeking a visionary expert to architect advanced ML solutions that drive measurable growth for Fortune 500 clients. You'll work in a collaborative environment where your impact directly shapes our data-driven future.
Our ideal candidate thrives in ambiguity and possesses the technical prowess to transform complex datasets into actionable insights. You'll leverage cloud-native infrastructure to deploy scalable models while mentoring junior scientists in our agile R&D pipeline.
Responsibilities
- Design end-to-end ML pipelines for predictive analytics and NLP applications
- Collaborate with cross-functional teams to translate business objectives into data science roadmaps
- Develop A/B testing frameworks and causal inference models
- Lead model deployment using MLOps best practices (AWS/GCP)
- Present findings to C-level stakeholders through compelling data narratives
- Mentor junior scientists and conduct peer code reviews
- Research emerging AI techniques and publish industry insights
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years building production ML systems with Python/R
- Expertise in deep learning frameworks (TensorFlow/PyTorch)
- Strong SQL proficiency and experience with big data tools (Spark/Databricks)
- Portfolio demonstrating complex ML projects with measurable business impact
- Published research in top-tier data science conferences
- Experience with cloud ML platforms (SageMaker, Vertex AI)
- Exceptional communication skills translating technical concepts