Analytics Manager - LiveOps Automation Team
Scopely is looking for an Analytics Manager to join our LiveOps Automation team within our Midcore division in Spain on a remote basis. At Scopely, we care deeply about what we do and want to inspire play every day, whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
The LiveOps Automation team are responsible for building a sophisticated suite of LiveOps tools powered by Machine Learning (ML) and data driven decision making to enhance player experience within Midcore games. Our goal is to gain a deep understanding of player behaviours and help shape curated, dynamic in-game experiences that enhance engagement and performance across our Midcore portfolio.
What You Will Do
As an Analytics Manager, you will lead a cross-functional team of data scientists and analysts who are at the heart of how Scopely’s Midcore division understands and engages players. You’ll be responsible for developing the strategy, frameworks, and infrastructure that enable actionable insights, predictive modeling, and experimentation at scale — driving both the evolution of our LiveOps capabilities and the business performance of our games.
Lead, mentor, and grow a team of Data Scientists and Analysts focused on advancing personalization, monetization, and player engagement strategies.
Partner with Product, Game, and Engineering teams to define analytical and ML priorities that drive measurable business outcomes.
Partner with LiveOps Automation leadership to shape strategy, define KPIs, and monitor LiveOps automation performance across multiple titles.
Guide the design and evaluation of experiments, predictive models, and decision systems that power dynamic LiveOps experiences.
Ensure analytics frameworks and processes by implementing shared libraries, robust data pipelines, and scalable modeling frameworks.
Translate complex technical findings into clear, actionable recommendations for both technical and non-technical audiences.
Drive the roadmap for analytics and data science initiatives, balancing exploratory research with production impact.
Foster a culture of curiosity, collaboration, and technical excellence within the analytics function.
What We're Looking For
6+ years of experience in Data Science, Analytics, or related fields, with at least 2 years in a leadership or management role. Experience managing distributed or hybrid teams.
Experience in gaming, e-commerce, or consumer tech analytics environments.
Proven track record of delivering analytical and machine learning solutions that influence product strategy and player outcomes.
Strong foundation in experimental design and statistical modeling.
Expertise in Python (Pandas, Numpy, Scikit-learn, etc.) and SQL; experience in developing reusable analytical libraries and scalable codebases.
Experience designing scalable and reusable solutions.
Excellent communication and storytelling skills — able to bridge technical insights and business strategy.
Ability to influence cross-functional teams and drive alignment in a fast-paced environment.
Passion for games and data-driven innovation.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
Analytics Manager - LiveOps Automation Team
Scopely is looking for an Analytics Manager to join our LiveOps Automation team within our Midcore division in Spain on a remote basis. At Scopely, we care deeply about what we do and want to inspire play every day, whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
The LiveOps Automation team are responsible for building a sophisticated suite of LiveOps tools powered by Machine Learning (ML) and data driven decision making to enhance player experience within Midcore games. Our goal is to gain a deep understanding of player behaviours and help shape curated, dynamic in-game experiences that enhance engagement and performance across our Midcore portfolio.
What You Will Do
As an Analytics Manager, you will lead a cross-functional team of data scientists and analysts who are at the heart of how Scopely’s Midcore division understands and engages players. You’ll be responsible for developing the strategy, frameworks, and infrastructure that enable actionable insights, predictive modeling, and experimentation at scale — driving both the evolution of our LiveOps capabilities and the business performance of our games.
Lead, mentor, and grow a team of Data Scientists and Analysts focused on advancing personalization, monetization, and player engagement strategies.
Partner with Product, Game, and Engineering teams to define analytical and ML priorities that drive measurable business outcomes.
Partner with LiveOps Automation leadership to shape strategy, define KPIs, and monitor LiveOps automation performance across multiple titles.
Guide the design and evaluation of experiments, predictive models, and decision systems that power dynamic LiveOps experiences.
Ensure analytics frameworks and processes by implementing shared libraries, robust data pipelines, and scalable modeling frameworks.
Translate complex technical findings into clear, actionable recommendations for both technical and non-technical audiences.
Drive the roadmap for analytics and data science initiatives, balancing exploratory research with production impact.
Foster a culture of curiosity, collaboration, and technical excellence within the analytics function.
What We're Looking For
6+ years of experience in Data Science, Analytics, or related fields, with at least 2 years in a leadership or management role. Experience managing distributed or hybrid teams.
Experience in gaming, e-commerce, or consumer tech analytics environments.
Proven track record of delivering analytical and machine learning solutions that influence product strategy and player outcomes.
Strong foundation in experimental design and statistical modeling.
Expertise in Python (Pandas, Numpy, Scikit-learn, etc.) and SQL; experience in developing reusable analytical libraries and scalable codebases.
Experience designing scalable and reusable solutions.
Excellent communication and storytelling skills — able to bridge technical insights and business strategy.
Ability to influence cross-functional teams and drive alignment in a fast-paced environment.
Passion for games and data-driven innovation.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!