Data Scientist: Gaming Monetization & Growth

Game Companies

Stockholms kommun

On-site

SEK 550,000 - 850,000

Full time

9 hours ago
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Benefits offered by this job

Competitive salary
On-site role in Sweden

Job summary

Embark in Sweden is seeking a Data Scientist to drive commercial success in gaming by turning analytics into growth opportunities. You will partner with game designers, product managers, and stakeholders to unlock data-driven insights that optimise monetisation and player engagement.

Responsibilities include building dashboards, supporting business development initiatives, and creating scalable tooling. Strong SQL, Python, and experience with ETL/data pipelines are essential, along with

Qualifications

  • 2–5 years of experience in a Data Scientist or analytics role.
  • Strong SQL background.
  • Proficiency in Python for data modelling and analytics.
  • Experience building dashboards and tooling.
  • Experience with AI-assisted development tools.
  • Ability to communicate insights to technical and non-technical stakeholders.

Responsibilities

  • Analyse game performance metrics and player data to identify business opportunities.
  • Provide insights to optimise in-game economies, pricing models, and engagement initiatives.
  • Collaborate with business development and product teams on monetisation strategies.
  • Design, build, and maintain commercial tooling for the commercial teams.
  • Build dashboards and reports to track business performance and provide actionable insights to stakeholders.
  • Utilise AI-assisted coding workflows to accelerate development.

Skills

SQL
Python
Data analysis
Dashboards
AI-assisted tools
Communication
English
Game industry interest

Tools

ETL Tools

Job description

Embark in Sweden is seeking a Data Scientist to drive commercial success in gaming by turning analytics into growth opportunities. You will partner with game designers, product managers, and stakeholders to unlock data-driven insights that optimise monetisation and player engagement.

Responsibilities include building dashboards, supporting business development initiatives, and creating scalable tooling. Strong SQL, Python, and experience with ETL/data pipelines are essential, along with

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