Senior Data Scientist - Remote Opportunity at Scopely

About the Role

Scopely is looking for a Senior Data Scientist to join our Monopoly GO! game team in our Barcelona hub on a hybrid basis, or remotely in Spain or Portugal. As a Senior Data Scientist, you will play a key role in supporting game growth by leveraging data to build innovative, player-centric solutions. This Senior Data Scientist role offers the opportunity to work with a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

What You'll Do

• Partner with Product Managers and Stakeholders to identify high-value opportunities, helping to define the data science roadmap for one of the world’s biggest mobile games.
• Own the process of creating new data products, from initial inception and requirement gathering to technical design, productionalization, and monitoring.
• Analyze player behavior to understand how features impact the game economy, progression, social dynamics, and sentiment.
• Design and implement A/B tests, forecasting, clustering, and ML models that provide actionable decision intelligence.
• Provide technical expertise throughout the product life cycle, ensuring high quality, scalability, and efficiency in our Data & Insights team.
• Work across departments (Product Analytics, Engineering, LiveOps, Marketing) to ensure data solutions are integrated and driving real-world impact for our players.

Requirements

• Outstanding problem-solving skills with a user-first mentality.
• Advanced proficiency in Python and SQL.
• Experience with BI tools (Looker) and visualization libraries (Plotly, etc.).
• Experience with data transformation at scale using dbt and Airflow.
• Proven track record of deploying data products to production (on GCS, AWS, or Azure).
• Strong background in statistics, A/B testing methodology, and applying ML/AI to improve business understanding.
• Ability to translate complex methodologies into clear insights for non-technical stakeholders.

Nice to Have

• A deep love for F2P mobile games and an understanding of game loops/economies.
• Familiarity with causal inference, Bayesian statistics, or MLOps platforms.
• Hands-on experience with LLMs, predictions using Transformers, or other Deep Learning architectures applied to behavioral data.

What We Offer

• Competitive salary and benefits package.
• Flexible working hours and remote work options.
• Opportunity to work on a globally recognized game franchise.
• Collaborative and innovative work environment.
• Continuous learning and development opportunities.