Data Scientist Manager
Core
Design, delivery, and scaling of AI projects for clients across various industries, while managing a country's data science team and developing internal technical expertise.
Role type
Manager, Data Scientist
Builds
Tailor-made AI solutions and internal accelerators (modules/tools) for enterprise clients
Domain
Consulting, Data & AI, Generative AI, MLOps
Deliverable
production ML models | product features | client delivery
Required skills
Applied machine learning, Generative AI, Software engineering, MLOps, Cloud environment industrialization, Team leadership, Stakeholder management, Technical strategy, Risk assessment, Innovation management
Preferred skills
Pragmatic problem-solving, Mentoring, Cross-functional collaboration, Technology evaluation
Technologies
Cloud services, MLOps frameworks, AI development tools
Responsibilities
Lead end-to-end client projects from use case framing to implementation; Ensure technical excellence and MLOps best practices; Support solution design and validate data availability; Act as technical reference for clients; Manage team staffing, well-being, and career development; Contribute to testing advanced AI approaches and building internal accelerators; Lead by example on projects and foster collaboration between data scientists, engineers, and business teams
Seniority
Manager, hands-on IC with team leadership