Senior Data Scientist - Marketing Analytics

Blueprint Technologies•Redmond, WA

9h•$140,000 - $150,000•Onsite

About The Position

In this role with our client, you will serve as a senior data science partner focused on monetization strategy for a large-scale digital entertainment platform. You will apply advanced analytics, experimentation, and predictive modeling to generate insights that improve subscription performance, digital content sales, and creator-driven revenue streams. This position is highly cross-functional and involves close collaboration with business, product, marketing, and finance stakeholders to influence decisions, shape strategy, and improve the customer experience while driving measurable business growth.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
8–10 years of experience in data science, analytics, or a related field
Strong experience in marketing analytics, particularly in digital or product-focused environments
Proficiency in SQL and at least one scripting language (e.g., Python)
Experience working with large-scale datasets and database technologies
Solid understanding of ETL processes and data pipeline development
Experience building and interpreting attribution models and marketing performance metrics
Strong analytical thinking, problem-solving, and troubleshooting skills
Excellent written and verbal communication skills, with the ability to present insights to non-technical stakeholders
Proven ability to influence decision-making through data-driven insights

Nice To Haves

Experience working in gaming, entertainment, or digital product ecosystems
Familiarity with Databricks or similar cloud-based data platforms
Experience partnering closely with marketing and finance teams on budget planning and ROI/ROAS optimization
Knowledge of experimentation frameworks (A/B testing) and causal inference methods
Experience building scalable reporting dashboards and automation solutions
Demonstrated ability to lead stakeholder conversations and drive alignment across teams

Responsibilities

Partner with cross-functional stakeholders to define measurement strategies and key performance indicators for marketing campaigns
Analyze digital marketing performance, including acquisition, reactivation, and retention metrics
Develop and execute campaign post-mortems to evaluate effectiveness and identify optimization opportunities
Build and maintain attribution models to connect marketing inputs (spend, impressions) to downstream outcomes (engagement, revenue)
Design and analyze marketing funnels to uncover performance gaps and growth opportunities
Create audience segmentation frameworks to support targeted marketing efforts
Collaborate with data engineering and analytics teams to build scalable data pipelines, reporting solutions, and automation
Design, implement, and maintain ETL processes for large-scale data systems
Develop and optimize database structures and queries for efficient data access and analysis
Present insights and recommendations to stakeholders, influencing marketing and investment decisions
Ensure data accuracy, troubleshoot issues, and continuously improve data quality and reporting processes