Data Scientist - LiveOps Automation
Scopely is looking for a Data Scientist to join our LiveOps Automation team within our Midcore division in Spain on a hybrid or 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 driven by Machine Learning (ML) for enhancing player experience within Midcore games. This initiative will implicitly change how Midcore manages its games in perpetuity.
What You Will Do
We’re seeking a creative and impact-driven Data Scientist who can combine rigorous analytical skills with product intuition to influence live game experiences and monetization strategies.
Partner with Game and Product teams to frame and answer complex business problems using data.
Design and evaluate experiments that drive the evolution of our LiveOps strategies.
Develop, test, and deploy predictive models and decision systems that power personalization, pricing, and content targeting.
Explore and analyze large-scale behavioral datasets to generate actionable insights.
Work closely with ML and Data Engineers to integrate data science solutions into production pipelines.
Contribute to the roadmap for data products and ensure alignment with business objectives.
Present results and recommendations clearly to technical and non-technical stakeholders.
What We're Looking For
3+ years of experience applying statistical or machine learning models in business contexts.
Solid understanding of experimentation frameworks (A/B testing, uplift modeling) and causal inference techniques.
Strong Python skills and familiarity with scientific computing packages (Pandas, Numpy, Scikit-learn, etc.).
Experience working with large-scale data warehouses and writing performant SQL.
Strong communication skills: be able to explain complex technical topics to non-technical audiences.
A collaborative mindset and an eagerness to contribute to a fast-moving, multi-disciplinary team.
You desire to seek out and take on user feedback to drive world-class application development.
You love games
Bonus Points
Experience in personalization, recommendation, churn, or pricing models.
Familiarity with cloud-based data ecosystems (e.g., GCP, AWS).
Knowledge of Looker, Tableau, or similar data visualization tools.
Exposure to gaming, e-commerce, or mobile app data environments.
Experience mentoring junior analysts or data scientists.
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!
About the job
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Data Scientist - LiveOps Automation
Scopely is looking for a Data Scientist to join our LiveOps Automation team within our Midcore division in Spain on a hybrid or 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 driven by Machine Learning (ML) for enhancing player experience within Midcore games. This initiative will implicitly change how Midcore manages its games in perpetuity.
What You Will Do
We’re seeking a creative and impact-driven Data Scientist who can combine rigorous analytical skills with product intuition to influence live game experiences and monetization strategies.
Partner with Game and Product teams to frame and answer complex business problems using data.
Design and evaluate experiments that drive the evolution of our LiveOps strategies.
Develop, test, and deploy predictive models and decision systems that power personalization, pricing, and content targeting.
Explore and analyze large-scale behavioral datasets to generate actionable insights.
Work closely with ML and Data Engineers to integrate data science solutions into production pipelines.
Contribute to the roadmap for data products and ensure alignment with business objectives.
Present results and recommendations clearly to technical and non-technical stakeholders.
What We're Looking For
3+ years of experience applying statistical or machine learning models in business contexts.
Solid understanding of experimentation frameworks (A/B testing, uplift modeling) and causal inference techniques.
Strong Python skills and familiarity with scientific computing packages (Pandas, Numpy, Scikit-learn, etc.).
Experience working with large-scale data warehouses and writing performant SQL.
Strong communication skills: be able to explain complex technical topics to non-technical audiences.
A collaborative mindset and an eagerness to contribute to a fast-moving, multi-disciplinary team.
You desire to seek out and take on user feedback to drive world-class application development.
You love games
Bonus Points
Experience in personalization, recommendation, churn, or pricing models.
Familiarity with cloud-based data ecosystems (e.g., GCP, AWS).
Knowledge of Looker, Tableau, or similar data visualization tools.
Exposure to gaming, e-commerce, or mobile app data environments.
Experience mentoring junior analysts or data scientists.
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!