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Marketing Data Scientist
ES - Barcelona, Spain
Actively hiring, first seen by us 5 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop and maintain paid media models, such as spend-response curves and LTV forecasts
Measure the effectiveness and incremental impact of advertising using statistical methods
Work on Ads initiatives to improve player experience and monetization, including bidding strategy
Turn model outputs into investment recommendations for marketing and finance partners
Build data science tools and workflows that support recurring marketing decisions
From the employer’s posting
develop and maintain models that guide paid media investment, including spend-response curves, player lifetime value forecasts
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
translate model outputs into clear recommendations on where and when to invest
turn reliable data science into tools and workflows that support recurring marketing decisions
Education & alternatives
- 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
About Scopely
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Scopely is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Docker
- Looker
- Power BI
- Tableau
- Airflow
- GCP
Where the posting names them
- 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
- 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
- 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
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
ES - Barcelona, Spain
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.