Senior Data Scientist

1 Month ago • 4-8 Years • Data Analyst

Job Summary

Job Description

As a Senior Data Scientist at King, you'll leverage data to optimize Candy Crush Soda Saga, enhancing player experiences and revenue. Responsibilities include collaborating with product teams, designing and executing A/B tests, optimizing game levels through data analysis and modeling, and translating business needs into technical requirements. You will work closely with cross-functional teams and contribute to the development of new data science methodologies and tools. A passion for analytics, data-driven decision-making, and gaming is essential. This role requires strong analytical and statistical expertise, proficiency in SQL and Python/R, and excellent communication skills.
Must have:
  • Strong analytical & statistical skills
  • Proficiency in SQL and Python/R
  • A/B testing expertise
  • Data modeling & optimization
  • Excellent communication skills
Good to have:
  • Experience with Looker, Shiny, Streamlit
  • Experience with cloud platforms (GCP, AWS, Azure)
  • Knowledge of Bayesian statistics
  • Experience with GitHub and Docker

Job Details

Craft:

Data, Analytics & Strategy

Job Description:

Are you excited about using data to shape the future of Candy Crush Soda Saga and create even better experiences for millions of players? We are looking for a Senior Data Scientist who is passionate about solving complex problems, pushing the boundaries of game analytics, driving meaningful impact through data-driven insights, and who wants to roll up their sleeves and dig deep into the data. 

This is the perfect role for someone who has an ability to apply their skills to generate business value, and wants to continue to grow their data science knowledge as well as their critical thinking to provide a meaningful impact on our game. 

Are you excited about using data to shape the future of Candy Crush Soda Saga and create even better experiences for millions of players? We are looking for a Senior Data Scientist who is passionate about solving complex problems, pushing the boundaries of game analytics, and driving meaningful impact through data-driven insights.

Your role within the Kingdom
 

As a Senior Data Scientist in the Candy Crush Soda Saga team, you will develop innovative ways to optimize our levels, and discover opportunities to enhance player engagement and revenue. You'll partner with product and other stakeholders to leverage data in creative ways, influencing key decisions that shape the future of the game.

Specifically, you will

  • Work closely with product teams throughout the development process and conduct both exploratory and confirmatory analysis

  • Design and execute A/B tests that measure the impact of interventions. Ensure correct data collection for meaningful and precise analysis. 

  • Optimize our levels: Use data analysis and modeling to optimize game levels, identifying new opportunities to optimise for growth and player engagement through experimentation, modeling, and deep-dive analysis.

  • Collaboration & Communication: Work closely with cross-functional teams to translate business needs into technical requirements, ensuring that data is tracked and analyzed effectively for decision-making. Ensure data-driven initiatives are clearly connected to business value and strategic objectives

  • Methodology & Tooling: Contribute to the development of methodologies and tools that enhance data science capabilities across King.

Skills to create thrills
 

We welcome candidates with diverse experiences in analytics. You don’t need to check every box to apply—we value a growth mindset and encourage applicants with strong foundational skills.

Our ideal candidate has solid experience in analytics, but there are plenty of opportunities at King to learn from colleagues in areas where you have less experience and to share your expertise where you excel.

 

Skills that will help you thrive in this role include:

  • Analytical & Statistical Expertise: Strong ability to choose and adapt models based on the task at hand. Strong statistical and probabilistic intuition, with the capacity to identify when simple or complex solutions are appropriate. 

    • Technical Proficiency
      - Proficiency in SQL and Python or R
      -
      Experience with tools like Looker, Shiny, Streamlit, GitHub, Docker and cloud platforms such as GCP, AWS, or Azure is a plus

    • Data Science & Experimentation: 
      - The ability to understand and apply relevant statistical and/or machine learning techniques. Strong knowledge of probability theory and Bayesian statistics.
      -
      Expertise in designing and interpreting A/B tests to measure product changes and assess player response is a plus
       

  • Communication & Business Impact: Strong communication skills, with the ability to to translate complex data insights into clear, actionable recommendations for stakeholders. A collaborative mindset, with a focus on connecting data science outcomes to business objectives
     

  • A passion for analytics and driving data driven decision making. Enthusiasm for gaming and a curiosity about player behavior. 

About King

With a mission of Making the World Playful, King is a leading interactive entertainment company 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 game hits such as Farm Heroes Saga. King games are played by more than 200 million monthly active users. 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, @lifeatking on Instagram, or @king_games on X.

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About The Company

At King, we’re Making the World Playful. Heard of Candy Crush? We’re the creators behind it and loads of other sweet games like Farm Heroes.

London, England, United Kingdom (On-Site)

London, England, United Kingdom (On-Site)

London, England, United Kingdom (Hybrid)

London, England, United Kingdom (On-Site)

London, England, United Kingdom (On-Site)

England, United Kingdom (Hybrid)

Los Angeles, California, United States (Hybrid)

California, United States (Hybrid)

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