Data Scientist - LiveOps Automation

Scopely; Tarragona; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading game development company seeks a Data Scientist for its LiveOps Automation team in Spain. You will leverage your analytical and machine learning skills to enhance player experiences in mobile games. This dynamic role involves collaboration with cross-functional teams to drive innovative solutions and engage with large behavioral datasets, presenting actionable insights to stakeholders.

Formación

• 3+ years of experience in machine learning and statistical modeling.
• Strong Python skills with knowledge of data analysis libraries.
• Experience with large data environments and SQL.

Responsabilidades

• Partner with teams to analyze data and influence live game experiences.
• Develop and deploy predictive models for personalization and content targeting.
• Communicate results clearly to both technical and non-technical stakeholders.

Conocimientos

Statistical modeling

Machine Learning

Python

SQL

Communication

Educación

Degree in a relevant field

Herramientas

Pandas

Numpy

Scikit-learn

Descripción del empleo

Join to apply for the Data Scientist - LiveOps Automation role at Scopely

Join to apply for the Data Scientist - LiveOps Automation role at Scopely

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 Us

Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee With Buddies,” among others.

Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms from mobile, web, PC and beyond.

Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.

Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.

Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.

For more information on Scopely, visit : scopely.com

Notice to candidates : Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com.

Our official website is Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain.

Should you have any questions or encounter any fraudulent requests / emails / websites, please immediately contact Our job applicant privacy policies are available here : California Privacy Notice and EEA / UK Privacy Notice. Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

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