Senior Data Scientist

99x; Portugal; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

99x is seeking a Senior Data Scientist to lead the development of AI, Generative AI, and ML solutions. You will design intelligent architectures, guide teams, and deliver AI-powered applications that create measurable business value.

You will work across disciplines to define AI strategies, from experimentation to production. Strong focus on LLMs, RAG, AI agents, and governance with a leadership mindset.

Qualificações

• 5–10 years of experience in Data Science and Machine Learning.
• Proven experience delivering AI solutions in enterprise environments.
• Strong experience with Generative AI, ML, and Large Language Models (LLMs).
• Experience designing solutions based on RAG, AI Agents, and modern AI frameworks.
• Excellent communication and leadership with English fluency.

Responsabilidades

• Lead the design and development of AI, Generative AI, and ML solutions.
• Oversee Retrieval-Augmented Generation (RAG) initiatives and AI Agents.
• Develop and optimize end-to-end AI-powered applications.
• Define and implement approaches for Prompt Engineering, Model Evaluation, and Fine-Tuning.
• Mentor Junior and Mid-Level Data Scientists and collaborate with cross-functional teams.

Conhecimentos

Generative AI

LLMs

RAG

Model Evaluation

Prompt Engineering

AI governance

Leadership

Stakeholder management

Formação académica

Data Science

Computer Science

Engineering

Statistics

Related field

Descrição da oferta de emprego

We are looking for a Senior Data Scientist to join our team and lead the development of advanced Artificial Intelligence, Generative AI, and Machine Learning solutions.

In this role, you will be responsible for designing intelligent architectures, leading technical initiatives, and guiding teams in the delivery of innovative AI-powered solutions that create measurable business value. You will work closely with multidisciplinary teams to define and implement AI strategies, from experimentation to production deployment.

The role combines data science, AI engineering, and technical leadership, with a strong focus on Generative AI, Large Language Models, and modern Machine Learning practices.

Responsibilities:

• Lead the design and development of Artificial Intelligence, Generative AI, and Machine Learning solutions
  
• Retrieval-Augmented Generation (RAG)
  
• AI Agents
  
• Modern AI frameworks and technologies
  
• Design and develop end-to-end AI-powered applications
  
• Define and implement approaches for:
  • Prompt Engineering
    
  • Model Evaluation
    
  • Fine-Tuning
    
• Develop and optimize AI and Machine Learning pipelines
  
• Drive innovation initiatives and identify opportunities to leverage emerging AI technologies
  
• Ensure adherence to best practices in:
  • Software development
    
  • Security
    
  • AI governance
    
• Collaborate with cross-functional teams to define business-focused AI solutions
  
• Mentor and support Junior and Mid-Level Data Scientists
  
• Monitor market trends and technological advances in Generative AI and Machine Learning
  

Requirements

• BSc or MSc in:
  • Data Science
    
  • Computer Science
    
  • Engineering
    
  • Statistics
    
  • Or a related field
    
• 5–10 years of experience in Data Science and Machine Learning
  
• Proven experience designing and delivering AI solutions in enterprise environments
  
• Strong experience with:
  • Generative AI
    
  • Machine Learning
    
  • Large Language Models (LLMs)
    
• Experience designing solutions based on:
  • RAG
    
  • AI Agents
    
  • Modern AI frameworks
    
• Solid knowledge of:
  • Prompt Engineering
    
  • Model Evaluation
    
  • Fine-Tuning techniques
    
• Experience building and deploying production-ready AI applications
  
• Strong leadership and technical mentoring capabilities
  
• Ability to translate business challenges into scalable AI solutions
  
• Excellent communication and stakeholder management skills
  
• Strong analytical and strategic thinking capabilities
  
• Fluency in English
  

Nice-to-have

• Experience leading AI transformation or innovation programs
  
• Knowledge of AI governance and Responsible AI frameworks
  
• Experience working in multidisciplinary and enterprise-scale environments
  
• Exposure to MLOps and production AI lifecycle management
  
• Strong focus on continuous learning and emerging technologies
  

Certifications (Valued)

• Equivalent certifications in Machine Learning, Generative AI, or Data Science platforms
  

Other Requirements

• Availability to work in a hybrid model in Lisbon (2 days per week on-site)