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Marketing Data Scientist

Scopely scopely.com Open
Hybrid Barcelona Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Scopely. Barcelona · full-time.

Pay not stated Data Science salary

RoleData Science
SeniorityMid-level
LocationBarcelona
WorkplaceHybrid
EmploymentFull-time
PostedOct 29, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain models for paid-media budgets, including spend response, player value, acquisition forecasts and investment choices
  • Use statistical methods to assess advertising performance and its incremental effect
  • Improve ad bidding and monetization approaches while accounting for player experience
  • Explain model recommendations, likely outcomes, uncertainty and assumptions to marketing and finance partners
  • Work with acquisition, ads, finance and analytics engineering teams to embed models in recurring decision tools

What you bring

  • You have at least three years of experience working as a data scientist
  • You bring advanced SQL and practical Python skills for large datasets and dependable, scalable models
  • You can build and run production data science workflows, including orchestration and containerization
  • You can explain analytical findings clearly to technical and non-technical partners

Who this fits

This mid-level role suits a data scientist who can connect marketing models to practical investment decisions. The position is hybrid in Barcelona, and applicants must submit a résumé or CV in English.

From the employer

Scopely is seeking a Marketing Data Scientist to join our Marketing Analytics team in Barcelona, Spain, on a hybrid 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 worldwide daily.

As a Marketing Data Scientist, you will be part of the Marketing Analytics team, which is responsible for executing the cross-portfolio analytics initiatives for Scopely’s User Acquisition and Ads teams.

What You Will Do

  • develop and maintain models that guide paid media investment, including spend-response curves, player lifetime value forecasts, user acquisition forecasts, and budget optimization approaches
  • measure the effectiveness and incremental impact of advertising using sound statistical methods
  • work on Ads initiatives to improve player experience while optimizing monetization, enhance our strategy in ads bidding, etc.
  • translate model outputs into clear recommendations on where and when to invest, explaining expected outcomes, uncertainty, and key assumptions to marketing and finance partners.
  • partner with User Acquisition, Ads, Finance, and Analytics Engineering teams to turn reliable data science into tools and workflows that support recurring marketing decisions

What We're Looking For

  • 3+ years of experience as a Data Scientist. Background in performance marketing and mobile free-to-play gaming is strongly preferred
  • excellent analytical and problem-solving skills, with a track record of using data to drive meaningful outcomes
  • preferred experience in applying marketing modeling techniques e.g., media mix modeling, time series forecasting, segmentation/clustering
  • advanced SQL and hands-on Python skills for working with large datasets, developing analyses, and building reliable, scalable models; exposure to Google Cloud Platform and BigQuery is a plus
  • working knowledge of visualization tools: Looker (Preferred), QlikView, Tableau, or PowerBI
  • proficiency in developing and operating production data science workflows, including orchestration with tools such as Airflow and containerization with Docker; cloud deployment, CI/CD, and monitoring experience is a plus
  • strong communication skills and the ability to explain clearly to both technical and non-technical stakeholders, influencing decision-making through structured storytelling and data-evidence-based recommendations
  • Bachelor’s degree in a quantitative or scientific field, or equivalent practical experience, is a big plus
  • experience in the games industry, or interest in video/mobile games and the evolving in-game advertising field, is a plus but not required

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!

Please ensure that the résumé/CV you attach is written in English.

About Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

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

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.