Data Scientist, Commercial

We are looking for a Data Scientist who is passionate about leveraging data to drive commercial success in the gaming industry. In this role, you’ll focus on using analytics to identify growth opportunities, optimise game monetization strategies, support business development initiatives, and build scalable commercial tooling. You’ll partner with game designers, product managers, and business stakeholders to unlock data-driven insights that fuel our business growth and maximize player engagement.

Example of responsibilities 

• Analyse game performance metrics and player data to identify business opportunities.

• Provide insights and recommendations to optimise in-game economies, pricing models, and player engagement initiatives.

• Collaborate with business development and product teams to develop data-driven monetization strategies.

• Design, build, and maintain commercial tooling to empower commercial teams.

• Build dashboards and reports to track business performance and provide actionable insights to stakeholders.

• Utilize AI-assisted coding workflows to accelerate development.

We would love if you have

• A creative and curious mind

• Strong background in SQL

• Experience in working with ETLs and data pipelines

• Proficiency in Python for data modelling, analysis over large datasets, and script/tool building

• Experience building tooling or interactive dashboards

• Familiarity with AI-assisted development tools

• Ability to communicate insights and strategies to both technical and non-technical stakeholders

• Experience or interest in games

• Professional English communication skills.

This is an on-site role, and we are only considering candidates already residing in Sweden.

At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together.

Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!

Strong background in SQL, experience with ETLs and data pipelines, proficiency in Python for data modelling and analysis over large datasets, experience building tooling or interactive dashboards, familiarity with AI-assisted development tools, ability to communicate insights to technical and non-technical stakeholders, professional English communication skills, and currently residing in Sweden.