Data Scientist (Lisbon -Hybrid)

We're fast learners, hard
workers, natural collaborators... and we Make Modern Happen!

Our ambition is to unlock the
potential of our digital world so that organisations everywhere can innovate
and thrive securely. We aim to achieve this goal by bringing together the
world’s most talented people and the most powerful technologies, combining them
to address our customers' challenges and to build something stronger together.

If you share
our vision, join us!

Right now, we
are looking for a Data Scientist to integrate our talent team.

Your
responsibilities include:

• Collaborating with Product Owners and
  stakeholders to define the vision and roadmap of ML/AI -driven products
  with competitive advantage;
  
• Translating technical solutions into business
  value by defining appropriate KPIs (e.g., value/LTV, incremental margin)
  and corresponding operational and customer experience guardrails;
  
• Designing end -to -end decision architectures —
  from predictive components to optimization layers that convert predictions
  into actions;
  
• Designing and analysing controlled experiments
  (A/B tests, switchback tests) to measure causal impact with statistical
  confidence;
  
• Breaking down and plan solutions into epics,
  stories, and tasks;
  
• Building scalable cloud -based data pipelines
  (GCP);
  
• Developing, maintaining, and monitoring ML models
  in production, optimizing performance and ensuring system reliability;
  
• Measuring and maximizing the business impact of
  developed solutions.
  

You
must have:

• Bachelor’s, Master’s, or PhD degree in a
  quantitative field (Engineering, Mathematics, Statistics, Computer
  Science, or equivalent);
  
• Relevant experience (3+ years) in developing
  machine learning systems or data pipelines in production environments;
  
• Strong programming and computer science
  knowledge, with experience in machine learning frameworks;
  
• Systems thinking: ability to decompose a business
  problem into a decision architecture, not just an isolated model;
  
• Experimentation and impact measurement: A/B
  testing / controlled experiments, sample size calculation (baseline, MDE,
  α/β), hypothesis testing, and strong understanding of correlation vs.
  causation;
  
• Technical breadth: beyond predictive modelling,
  comfort with optimization problems (e.g., assignment/matching,
  linear/integer programming) and reasoning about trade -offs;
  
• Strong communication and collaboration skills
  with both technical and business teams;
  
• Intellectual curiosity, critical thinking, and
  impact -driven mindset;
  
• Ability to adapt and manage priorities in
  fast -paced environments.
  

We
value:

• Experience across both academia and industry;
  
• Applied causal inference;
  
• Distributed computing;
  
• Experience with combinatorial optimization /
  operations research in real -world contexts.
  

We
offer:

• Regular professional
  development;
  
• Health insurance, with family package;
  
• Office facilities for meals and snacks;
  
• Regular teambuilding
  programs;
  
• Friendly workplace.
  

Workplace: Lisbon -
Hybrid

Claranet, Make modern happen!