Senior Data Scientist - Monetization Analytics

Blueprint Technologies•Redmond, WA

1d•Hybrid

About The Position

In this role, you will serve as a senior data scientist 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, Data Science, Statistics, Economics, Engineering, or a related technical field
8+ years of experience in data science, business analytics, or a related quantitative role
4+ years of hands-on experience with Python and Databricks or a similar cloud analytics environment
Strong SQL and large-scale data analysis experience
4+ years of experience in attribution modeling, experimentation, and causal inference
5+ years of experience presenting insights and recommendations to stakeholders and business partners
Strong statistical modeling and analytical problem-solving skills
Experience using data to influence stakeholder decisions and business outcomes
Strong written and verbal communication skills with the ability to explain technical concepts to non-technical audiences
Ability to work in a hybrid environment and regularly engage with stakeholders in person

Nice To Haves

Experience in digital monetization, subscription, streaming, gaming, or other consumer digital product environments
Experience analyzing post-sale monetization of digital experiences, including subscriptions, marketplace transactions, or creator ecosystems
Familiarity with user-generated content platforms or live-service ecosystems
Experience building lifetime value models, spend behavior models, or retention/conversion frameworks
Background supporting pricing strategy, content strategy, recommendation systems, or product discovery initiatives
Proven success in highly collaborative roles that require regular stakeholder presentations, insight readouts, and partner enablement
Experience balancing revenue optimization with customer experience considerations

Responsibilities

Partner with cross-functional stakeholders to identify business opportunities, define data needs, and translate complex findings into clear recommendations
Analyze monetization performance across subscriptions, digital content, and creator-driven offerings to identify growth opportunities
Build and refine predictive models, including lifetime value and spending behavior models, to support business planning and decision-making
Design, execute, and interpret A/B tests related to pricing, user experience, discovery, and monetization strategies
Evaluate customer behavior across products to uncover trends in engagement, conversion, retention, and spend
Deliver insights and presentations to stakeholders, helping influence strategy and train partners on data outputs and recommendations
Work with large-scale datasets using Python, SQL, and cloud-based analytics environments to support reporting and advanced analysis
Develop attribution and causal inference approaches to measure the impact of product and business changes
Support recommendation, discovery, and content strategy efforts through analytics and experimentation
Contribute to improving data processes, analytical frameworks, and best practices for monetization analytics