Lead Data Science & AI Product Team

emagine; Lisboa; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

emagine is seeking a senior Data Scientist to lead a Data Science team in a Global Data & Analytics Hub. You will drive data capabilities, coach others, and coordinate analytics projects using agile methods to deliver business solutions.

The role emphasizes governance, privacy, security, and compliance, with a focus on deploying and maintaining production models using AWS SageMaker and LangChain-based frameworks. Strong English communication is essential.

Qualificações

• 7+ years of experience in Data Science with a proven record of leading Data Science teams.
• Proficiency with AWS stack, LLMs, and Agentic Frameworks, such as LangChain.
• Experience in MLOps, specifically in deploying and maintaining production models, AWS SageMaker knowledge is a plus.
• Understanding of data governance, privacy, security, and compliance issues.
• Familiarity with agile methodologies and hypothesis-driven approaches.
• Fluent in English, both spoken and written, with strong presentation skills.

Responsabilidades

• Lead the Data Science team, coaching and supporting their development to establish a well-balanced internal and external resource team.
• Build analytical capabilities through individual contributions and coaching within a Product-Based Organization.
• Ensure effective allocation of resources for prioritized analytics projects adhering to agile principles.
• Managing budgeting, governance, and processes effectively.
• Stay updated with industry standards, integrating new technologies, algorithms, and frameworks.

Conhecimentos

Data science leadership

Team leadership

AWS stack

LLMs

MLOps

Agile methodologies

English fluency

Presentation skills

LangChain

AWS SageMaker

Ferramentas

LangChain

AWS SageMaker

Descrição da oferta de emprego

emagine is seeking a senior Data Scientist to lead a Data Science team in a Global Data & Analytics Hub. You will drive data capabilities, coach others, and coordinate analytics projects using agile methods to deliver business solutions.

The role emphasizes governance, privacy, security, and compliance, with a focus on deploying and maintaining production models using AWS SageMaker and LangChain-based frameworks. Strong English communication is essential.