Senior Data Scientist

Miniclip SA; Lisboa; On-site; EUR 40,000 - 60,000; Full time

Job summary

A gaming company in Lisbon is seeking a data professional to join its Data team. In this role, you will build data science products, support experimentation, and collaborate closely with analysts and engineers. The ideal candidate has a degree in a STEM field, strong experience with predictive models and machine learning, and proficiency in Python. You'll be working in a team-focused environment that values learning and growth.

Qualifications

• Strong experience in predictive models and machine learning solutions.
• Advanced knowledge of statistics and experimental design.
• Experience processing large datasets using Spark or PySpark.

Responsibilities

• Build automated and interactive data science products.
• Design, execute, and support experiments for product validation.
• Mentor and support junior team members.

Skills

Building and deploying predictive models

Machine learning solutions

Python proficiency

Data analysis

Attention to detail

Education

University degree in a STEM field

Tools

Spark

AWS

Docker

Job description

Miniclip is on the lookout for a 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