Senior Marketing Data Scientist – Gaming Analytics

Blueprint Technologies•Redmond, WA

4h•$120,000 - $130,000•Hybrid

About The Position

In this role, you will drive actionable insights that inform Player Lifecycle Marketing strategy for a large AAA gaming studio. You will partner closely with marketing, product, and engineering teams to ensure a strong data pipeline from database to reporting. You will analyze marketing A/B test results, evaluate evergreen campaign performance, and develop data-driven recommendations to optimize player engagement, retention, and post-sale monetization. You will transform complex analyses into clear, executive-ready narratives that connect campaign activity to measurable business outcomes — answering: What happened? Why? So what? What should we do next? This is a highly visible role within a well-known gaming franchise, offering the opportunity to influence major business decisions.

Requirements

7+ years of overall experience in data science, analytics, or related field
5+ years of hands-on SQL experience
5+ years of Python experience
5+ years presenting data insights to stakeholders (technical and non-technical audiences)
3+ years building dashboards (Power BI preferred)
5+ years in data analytics including data profiling and table creation
Strong experience analyzing marketing campaigns and experimentation results
Experience identifying statistically significant campaign impact
Strong data visualization skills with ability to create decision-ready outputs
Ability to translate complex analyses into business insights and clear recommendations
Excellent written and verbal communication skills
Ability to work in fast-paced, cross-functional environments

Nice To Haves

Experience in gaming industry
Experience with lifecycle or performance marketing analytics
Experience building causal inference frameworks
Familiarity with SparkSQL, Databricks, or Azure Data Explorer
Experience with marketing platforms such as Braze, Salesforce, or CleverTap
Familiarity with PySpark
Experience working with large-scale production data environments
Strong storytelling ability connecting data → insight → action
Interest in gaming and player behavior analytics

Responsibilities

Perform data exploration, profiling, and proof-of-concept table creation to support engineering partners in improving the production data environment
Maintain and enhance Power BI dashboards to help stakeholders understand campaign-level and lifecycle performance impact
Build and maintain causal inference frameworks and pipelines
Analyze marketing A/B test results and evergreen campaigns to identify statistically significant impact
Provide data-driven recommendations to optimize player engagement, retention, and monetization
Develop prioritized action plans with clear expected business impact
Synthesize insights into compelling narratives that connect player behavior changes to business outcomes
Create executive-ready readouts including presentation decks, annotated dashboards, and written summaries
Build and socialize lifecycle funnel frameworks to create shared understanding across stakeholders
Clearly communicate assumptions, limitations, and confidence levels in analysis
Collaborate with marketing, product managers, and engineering to define success metrics and measurement plans
Provide concise and consistent cross-functional communication
Recommend future experiments and testing roadmap additions