Senior Data Scientist

Job Description

Miniclip is on the lookout for a Senior Data Scientist to join our Data team at our Lisbon Studio. In this role, you’ll help turn complex data into meaningful insights that directly shape our games, products, and business decisions.

You’ll work at the intersection of data, product, and experimentation, collaborating closely with analysts, engineers, and business stakeholders to understand player behaviour, optimise features, and build scalable data science solutions. As a senior member of the team, you’ll also help define best practices and support the growth of more junior colleagues.

If you’re passionate about using data to drive impact at scale, this is a place where your work will be seen, used, and felt by millions of players worldwide.

What will you be doing at Miniclip?

• Build automated and interactive data science products that support product and business decisions
• Design, execute, and support experiments to validate hypotheses and product objectives
• Partner with Analysts, Machine Learning Engineers, and Business stakeholders to deliver scalable solutions
• Track and monitor the performance of data science products and act on performance issues when needed
• Run exploratory data analysis to support data science initiatives and uncover meaningful insights
• Clearly communicate findings and project status to both technical and non-technical audiences
• Mentor and support junior team members, contributing to their development
• Help establish, maintain, and evolve data science best practices across the team

If this resonates with you, even if you don’t feel 100% there yet, that’s OK. You’ll find an environment where learning and growth are part of the job.

What are we looking for?

We’re looking for a curious, analytical, and collaborative person who enjoys working with data and building impactful solutions, and who brings:

• A university degree in a STEM field or equivalent professional experience
• Strong experience building and deploying predictive models and machine learning solutions
• Advanced knowledge of statistics, experimentation, and experimental design
• Proficiency in Python, following development best practices
• Experience processing large datasets using Spark or PySpark
• Experience with cloud platforms for data storage and model deployment, preferably AWS
• Confidence presenting insights and results to cross-functional stakeholders
• A strong analytical mindset and attention to detail
• Motivation to stay up to date with new technologies and industry trends

Nice to have:
• Experience with Infrastructure as Code, Bash, Docker, or Databricks
• Leadership or mentoring experience

About Miniclip