Data Scientist

Who are we?

Tripledot
Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our studio:
Tripledot Games

About Tripledot Games

Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and Triple Tile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.

We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.

This role offers the exciting opportunity to lead high-impact projects. With extensive data at your disposal and a culture that champions experimentation, you’re encouraged to bring complex statistical methods to the forefront of our business operations.

You will be working closely with the Product and Monetisation teams to deliver insights that shape key business strategies.

You’ll also be deeply involved in developing and enhancing our internal A/B testing frameworks, while also consulting with the Product Team to optimise their experimental approaches.

You’ll have autonomy and the unique chance to craft the tools you use, such as developing bespoke web applications via Streamlit.

• Partner with the Product/Monetisation teams to deliver insights that drive business decisions.
• Promote a hypothesis-driven insights culture. Ensure that key learnings are captured from new feature and content releases; consult on A/B test setup and analysis, as well as appropriate statistical methods (e.g. sample size estimation, handling pre-allocation bias).
• Design and build internal self-service experimentation and analytics tooling.
• Work with data engineers to ensure proper dimensions and metrics are incorporated into our pipelines. Develop a thorough understanding of relevant internal and external data sources.
• Collaborate with other data scientists to develop and promote best practices in analytics and experimentation across the company

• A Bachelor’s degree in a quantitative subject or equivalent experience.
• Typically 2-5 years relevant work experience.
• Experience articulating product questions, identifying and querying big datasets (SQL) and using statistics to arrive at an answer.
• A comprehensive understanding of statistics (e.g. hypothesis testing, sampling, probability distributions) and experience in applying these concepts in real-life problems.
• Experience programming using python or R.
• AB testing experience, preferably in an online context.
• Excellent communication skills to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration.
• Ability to own…