Lead Data Scientist
Core
Research and develop new methodologies, prototype solutions, and deploy R&D projects in the ML/AI space to improve products and processes.
Role type
Lead Data Scientist (R&D)
Builds
New statistical/ML/AI methodologies and R&D projects
Domain
Consumer intelligence, retail analytics, machine learning, deep learning, Agentic AI
Deliverable
production ML models
Required skills
Python, multivariate statistics, machine learning, deep learning, time-series analysis, sampling theory, SQL, Hadoop, pySpark, Pandas, NumPy, Scikit-Learn, AzureML, DataBricks, CI/CD, Docker, Unix, AKS, Git
Preferred skills
None stated
Technologies
AzureML, DataBricks, Docker, Unix, AKS, Git, SQL, Hadoop, pySpark
Responsibilities
Research and develop new methodologies and prototype solutions; Own all phases of R&D projects from conceptualization to deployment; Collaborate with operations, technology, and stakeholder teams; Deliver academic-level documentation of methodologies; Engage with stakeholders on project objectives and outcomes; Contribute to multiple simultaneous projects.
Seniority
Senior, hands-on IC with R&D leadership
