Craft: Data, Analytics your focus will be on analytical rigour, interpretation, and applying findings to business decisions. Connect Measurement to Business Value You will translate analytical findings into practical recommendations on marketing investment, campaign optimisation, and performance expectations. You will work with stakeholders to connect marketing outcomes to player behaviour and revenue, and follow through to understand whether recommendations improve decisions. Deliver Marketing Measurement You will design and analyse incrementality tests and contribute to MMM and other causal analyses, selecting appropriate approaches with guidance where needed. You will own defined projects from the initial business question through analysis, interpretation, and stakeholder readout. Explain Business Performance You will investigate where and why ROI is over‑or under‑predicted, distinguishing changes in player value, campaign mix, measurement assumptions, and underlying business performance. You will help stakeholders understand whether a gap calls for action, further investigation, or more time to gather evidence. Turn Evidence into Decision Frameworks You will help translate experiment and model outputs into calibration inputs, performance benchmarks, and repeatable analytical tools. You will bring together evidence from incrementality, attribution, and MMM to support planning and evaluate Performance Marketing within the wider marketing mix. Bridge Business and Technical Questions You will work with marketing stakeholders to frame actionable questions and with technical partners to define data and analytical requirements. You will help ensure measurement outputs are interpreted correctly and used effectively in day‑to‑day decisions. Communicate Clearly and Improve Our Approach You will explain findings, assumptions, and uncertainty to technical and non‑technical audiences. You will challenge inconsistencies, identify opportunities to improve existing approaches, and take on broader ownership as your expertise develops. Education Degree in Statistics, Economics, Data Science, Mathematics, Computer Science, or a related quantitative field, or equivalent practical experience. Experience Hands‑on experience in data science, analytics, experimentation, or marketing measurement, with examples of taking an analytical question through to a useful business recommendation. Statistical Foundations A solid understanding of statistical modelling, hypothesis testing, experimentation, and the distinction between correlation and causation. Practical experience with at least one relevant measurement approach and an interest in developing broader expertise. Execution Able to independently deliver well‑scoped analytical work, validate results, and manage priorities. Comfortable working through ambiguity while recognising when to seek input or challenge the original question. Commercial Mindset Curious about what drives business performance and able to connect analytical results to investment choices, expected returns, and practical actions. Technical Skills Proficiency in Python or R and SQL, with experience working with complex datasets and producing clear, reproducible analyses. Communication Able to explain complex findings in accessible language, make recommendations supported by evidence, and communicate uncertainty without losing the practical message. Judgement and Growth Thoughtful about assumptions, data quality, and methodological limitations. Receptive to feedback, quick to learn, and ready to develop towards broader project ownership and greater influence over business decisions. Tasty Bonus Points Experience working with media buying teams, growth marketing, or other commercial stakeholders. Familiarity with MMM, GeoLift, holdout testing, synthetic controls, or other causal inference methods. Experience analysing ROI, lifetime value, forecast accuracy, or the drivers of changes in commercial performance. Understanding of advertising measurement challenges, including attribution bias, selection effects, organic cannibalisation, and platform limitations. Exposure to measuring brand or traditional marketing alongside digital Performance Marketing. Experience turning analysis into repeatable tools or processes used in planning, forecasting, or optimisation. Familiarity with BigQuery, Looker, or similar data and analytics platforms. Passion for gaming and curiosity about how player behaviour translates into long‑term business value. 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. Applicant Privacy Policy We bring moments of magic to hundreds of millions of people every single day. We create unforgettable games that are loved around the world. We take the art and science of gaming to the next level through curiosity for the unexplored, passion for games, respect for each other, and love for our players. Who we are King is a leading interactive entertainment company for the mobile world, with people all around the world playing one or more of our games, including franchises such as Candy Crush, Farm Heroes, Pet Rescue and Bubble Witch. We have 249 million monthly active users as of fourth quarter 2019 across web, social and mobile platforms. King was acquired by Activision Blizzard Inc. (Nasdaq ATVI) in February 2016 and operates as an independent unit of the company. Our passion Making great games is incredibly challenging but we’ve proven it can be done… and we see a world of possibilities ahead. We’re challenging ourselves to dream bigger in a Seriously Playful way. We’re experimenting, learning, and adapting continuously to shape the industry in ways yet to be imagined. We’re passionate about bringing moments of magic to our players and we’re not afraid to have fun along the way. Above all, we play as a team, helping each other have impact on a massive scale. And we’ll know we’ve outdone ourselves when we’ve inspired the world to play. If you share our passion, our values, and our hunger to shape the future, join us in Making the World Playful! Together, we’ll create new experiences that raise the bar, delight billions of people, and redefine the world of games again and again. Applicant Privacy Notice This Applicant Privacy Notice summarizes how the information you submit as a job applicant through this website will be handled and protected by King and its subsidiaries (\"we\" or \"us\") For full details regarding the types of information we may collect from you, how and why we use this information, and with whom we share this information, please see our Applicant Privacy Policy. #J-18808-Ljbffr
Data Scientist | Central Analytics employer: 960 MIDASPLAYER.COM LIMITED
At King, we pride ourselves on fostering a vibrant and inclusive work culture that encourages creativity and collaboration among our talented team. As a Senior Software Engineer, you'll not only have the opportunity to work on exciting new games but also benefit from continuous learning and growth opportunities within a supportive environment. Located in dynamic cities like London, you will be part of a company that values innovation and teamwork, making it an exceptional place to advance your career while contributing to the joy of millions of players worldwide.
Contact Details:
960 MIDASPLAYER.COM LIMITED Recruitment Team