It takes a Blizzard to make a Blizzard game, and that dedication doesn’t end once the game launches. We support our worlds for years, ensuring every player—on every platform—has an epic experience. Global Insights partners closely with our game teams, marketing, user acquisition, finance, and internal service groups to deliver the analytics, models, and strategic insights that help bring those experiences to life.

Within Global Insights, the Marketing Analytics team applies advanced analytics and data science to help our marketing and growth teams make smarter, data-driven decisions that deepen engagement and drive long-term business impact.

We are seeking a Senior Data Scientist with deep experience in mobile marketing analytics to join our team. In this role, you will build predictive revenue and LTV models, develop probabilistic attribution, marketing mix models, and create systems that allow us to understand—and optimize—the true impact of our mobile marketing investments. The ideal candidate has a passion for using data to shape mobile player acquisition and retention strategies, thrives in highly collaborative environments, and can translate complex analytical concepts into clear, actionable insights for partners across Blizzard.

Responsibilities

Build and maintain automated and dynamic predictive LTV models for mobile apps across multiple geographies, channels, campaigns, and platforms.
Develop automated revenue and user growth forecasting systems that integrate with UA and finance workflows.
Own the statistical framework for cohort modeling, retention projections, ROAS forecasting, and lifetime value prediction.
Lead measurement strategy in a privacy-centric ecosystem, including:
- SKAdNetwork (SKAN) configuration and model-based postback interpretation
- Probabilistic attribution and MMM
- Incrementality testing and causal inference
- Funnel and cohort analysis across a complex landscape of iOS/Android/PC and Console
Build data pipelines and automated reporting that harmonize deterministic and probabilistic signals.
Collaborate with marketing, finance, and business teams to translate insights into actionable strategies by providing:
- Paid media performance insights
- Budget planning and scenario modeling, both one off and automated
- Creative testing analytics
- Channel-level optimization recommendations
Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs.
Present findings and recommendations to stakeholders in a clear and compelling way.
Stay informed on emerging trends and best practices in marketing analytics and data science.

Requirements

8+ years of experience in data science, analytics, or a related field, with deep expertise in mobile marketing, predictive revenue modeling, or mobile UA analytics.
Advanced degree (Master’s or PhD) in Statistics, Applied Mathematics, Economics, Computer Science, or another quantitative discipline.
Expert knowledge of:
- Cohort-based modeling and LTV prediction
- Marketing measurement frameworks (SKAN, ATT, MMM, incrementality)
- Paid media platforms: Meta, Google, TikTok, DSPs, SANs
- Probabilistic and deterministic attribution approaches, last-click attribution and alternatives
Experience deploying models and working with engineering teams to automate workflows.
Strong programming experience in Python (or R) and proficiency in SQL.
Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and advanced statistical modeling techniques.
Hands-on experience with modern data and analytics tools, including BigQuery/Snowflake, Airflow/dbt, Tableau/Looker, and Python-based ML frameworks (scikit-learn, TensorFlow, PyTorch).
Expertise in data visualization and storytelling using Tableau, Power BI, Looker, or similar tools.
Demonstrated ability to solve complex problems independently and lead cross-functional initiatives.

Preferred Qualifications

Hands-on experience with:
o    MMPs (AppsFlyer, Adjust, Singular)
o    SKAN 4 or 5 readiness and schema design
o    Mobile data pipelines (event ingestion, postback processing)
·         Knowledge of cloud platforms (AWS, GCP, Azure) and modern data engineering tools.
Strong business acumen and the ability to influence senior leaders through compelling, data-driven insights.
A passion for Blizzard games and for helping shape unforgettable mobile experiences through data craftsmanship.

Your Platform

Best known for iconic video game universes including Warcraft®, Overwatch®, Diablo®, and StarCraft®, Blizzard Entertainment, Inc. (www.blizzard.com), a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry’s most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net®, Xbox, PlayStation, Nintendo Switch, iOS, and Android.

Our World

Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty®, World of Warcraft®, Overwatch®, Diablo®, Candy Crush™ and Bubble Witch™. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet!

Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World’ - we’ve got our employees covered!

The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners.

We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.

We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to [email protected]. General employment questions cannot be accepted or processed here. Thank you for your interest.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics.

Senior Data Scientist, Mobile User Acquisition