Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're seeking a visionary expert to architect cutting-edge ML solutions that drive product innovation and strategic decisions. Work in a collaborative, fast-paced environment where your impact directly shapes our AI roadmap and delivers measurable ROI.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics
- Collaborate with cross-functional teams to translate business challenges into data-driven solutions
- Lead advanced statistical modeling and A/B testing for product optimization
- Develop scalable data processing frameworks using cloud-native technologies
- Mentor junior scientists and champion data literacy across the organization
- Present findings to executive stakeholders through compelling visualizations
Qualifications
- PhD or Master's in Statistics, Computer Science, or related quantitative field
- 5+ years of applied ML experience with production-level deployments
- Expertise in Python, SQL, and distributed computing frameworks (Spark/Dask)
- Strong foundation in Bayesian inference, deep learning, and NLP techniques
- Proven track record of translating complex models into business impact
- Proficiency with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS/GCP)