Data Scientist

statistical and experimental methods to assess channel impact, incrementality, and the business contribution of media investment. - Operationalise Measurement & Build Frameworks: You will developing scalable, reusable analytical frameworks and turn experimental outcomes into calibration inputs and practical decision-making tools, building the repeatable processes that integrate measurement directly into media planning, campaign optimisation, and ongoing performance evaluation. - Bridge Business and Technical Questions: You will work with marketing and technical stakeholders to translate business questions into measurement plans, analytical requirements, and test designs that are both statistically credible and operationally realistic. - Contribute to the Measurement Roadmap: You will bring informed opinions on how measurement approaches should evolve, identify gaps or risks in current methods, and propose practical improvements, while working within the broader roadmap owned by more

senior leaders. - Communicate with Clarity: You will explain assumptions, trade-offs, confidence levels, and limitations to both technical and non-technical audiences, helping stakeholders understand what the data can and cannot tell us. Skills To Create Thrills - Education: Master’s or PhD in Statistics, Economics, Data Science, Mathematics, Computer Science, or a related field, or equivalent practical experience. - Experience: Strong hands-on experience in measurement, marketing science, experimentation, data science, or analytics, with a track record of delivering business-relevant insights from complex data. - Measurement Expertise: Strong understanding of causal inference, experimentation, statistical modelling, and media measurement, with practical experience applying approaches such as MMMs, PSA methods, GeoLift, holdout tests, or similar frameworks. - Execution: Able to independently structure ambiguous analytical problems, manage dependencies, and deliver high-quality outputs with consistency and attention to detail. - Commercial Mindset: Strong ability to connect analytical results to business decisions, investment trade-offs, and financial reality. - Technical Skills: Strong command of Python or R, SQL, and analytical workflows needed to support rigorous, reproducible measurement and modelling. - Communication: Excellent ability to explain complex methods and uncertain results in clear, pragmatic language tailored to different audiences. - Judgement: Sound judgement in ambiguous situations, including knowing when to apply advanced methods, when to simplify, when to challenge assumptions, and when to escalate risks or uncertainty. Tasty Bonus Points - Experience working directly with media buying teams or growth marketing organisations. - Experience contributing to the development of repeatable measurement approaches used in planning or optimisation. - Familiarity with digital advertising measurement challenges such as attribution bias, selection effects, incrementality gaps, and platform limitations. - Experience with BigQuery, Looker, Airflow, or similar data ecosystems. - Passion for gaming and a track record of using data to improve commercial decision-making. 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 . 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 and @lifeatking on Instagram.