Senior Data Scientist

Craft:

Data, Analytics & Strategy

Job Description:

Your Role Within Our Kingdom

We are looking for a dedicated and creative Sr. Data Scientist to join the Product Development and Experimentation teams in Catalog Games! You will help shape the future of our games through deep data insights that unlock player behaviors and business opportunities. As part of a diverse and talented analytics community, you’ll support multiple teams in creating entertaining, data-driven experiences for millions of players.

Working closely with game designers, game leads, developers, and other data scientists, you will define experiments, drive actionable insights, help identify strategic opportunities, and continuously evolve how we understand and enhance our games.

Key Responsibilities:

• Design, analyze, and present results from A/B tests to inform feature and game development. Be the end-to-end owner of the experimental aspects in initiatives.
• Proactively conduct rigorous data explorations and develop models that uncover new opportunities.
• Deliver clear and impactful visualizations and presentations tailored to diverse audiences.
• Ensure data quality and accessibility to support informed decision-making across teams.
• Support the evolution of Catalog Games’ data science methodologies and tooling, and act as a craft role model.
• Collaborate across games to share insights, tools, and learnings that benefit the broader portfolio.
• Systematically break down abstract problems into concrete analytical questions.

Skills to Create Thrills

Analytical & Technical:

• Strong background in applied statistics, experimentation, and predictive modeling.
• Advanced proficiency in SQL for working with large-scale, complex datasets (300M+ players).
• Skilled in Python or R for statistical analysis, modeling and automations.
• Deep understanding of statistical methodologies, including A/B testing and experimental design.
• Experience with big data platforms (e.g., GCP/BigQuery, AWS…).
• Familiarity with data visualization tools (e.g., Looker, Tableau).
• Knowledge of version control systems (e.g., Git), and experience in collaborative programming.
   

Business & Communication:

• Strong business insight: able to frame product questions into structured analyses.
• Effective communicator: present data stories clearly and influence diverse stakeholders.
• Collaborative and strategic mindset: ability to work cross-functionally and guide decision-making.
   

Tasty Bonus Skills

• Experience with mobile game analytics or in-game advertising.
• Familiarity and interest in agentic workflows (Codex, Claude…)
• Contributions to data science communities or internal capability-building initiatives.
   

A Great Saga Needs All Sorts of Heroes

Making games is fun—especially with people who share the same passion. At King, we embrace diversity and believe it leads to more creative solutions and richer game experiences. If you're excited about data, games, and working in a collaborative environment, we’d love to hear from you.

Apply now and join us in Making the World Playful.
Applications need to be in English.

About King

With a mission of Making the World Playful, King is a leading interactive entertainment company for the mobile world with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile titles such as Farm Heroes Saga. Around 200 million people play a King game every month. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn and @lifeatking on Instagram.

Strong background in applied statistics, experimentation, and predictive modeling. Advanced proficiency in SQL and skilled in Python or R for statistical analysis. Deep understanding of A/B testing and experimental design. Experience with big data platforms (GCP/BigQuery, AWS) and data visualization tools (Looker, Tableau). Knowledge of version control systems (Git) and strong business insight to frame product questions into structured analyses.