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4 часа назад

Senior Data Scientist (Monetization Analytics)

140 000 - 150 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Scientist (Monetization Analytics): Apply advanced analytics, experimentation, and predictive modeling to generate insights improving subscription performance, digital content sales, and creator-driven revenue on a large-scale digital entertainment platform with an accent on monetization strategy. Focus on building lifetime value models, designing A/B tests for pricing and user experience, and developing causal inference approaches to measure business impact.

Location: Redmond, WA (hybrid environment with regular in-person stakeholder engagement required)

Salary: $140,000–$150,000 per annum

Company

Technology solutions firm headquartered in Bellevue, Washington, leveraging cutting-edge technology to unlock value from assets and create new revenue streams for organizations.

What you will do

  • Partner with business, product, marketing, and finance stakeholders to identify opportunities and translate analytics into actionable recommendations
  • Analyze monetization performance across subscriptions, digital content, and creator offerings to uncover growth opportunities
  • Build and refine predictive models like lifetime value and spending behavior to inform planning
  • Design, execute, and interpret A/B tests on pricing, UX, discovery, and monetization strategies
  • Evaluate customer behavior trends in engagement, conversion, retention, and spend
  • Deliver insights via presentations and improve data processes for monetization analytics

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, Engineering, or related field
  • 8+ years in data science, business analytics, or quantitative role
  • 4+ years hands-on with Python and Databricks (or similar cloud analytics)
  • Strong SQL, large-scale data analysis, attribution modeling, experimentation, and causal inference (4+ years)
  • 5+ years presenting insights to stakeholders
  • Strong statistical modeling, problem-solving, and communication skills to explain technical concepts
  • Ability to work hybrid and engage in person regularly

Nice to have

  • Experience in digital monetization, subscriptions, streaming, gaming, or consumer digital products
  • Analyzing post-sale monetization like marketplace transactions or creator ecosystems
  • Familiarity with user-generated content platforms or live-service ecosystems
  • Building LTV, spend behavior, retention, or conversion models
  • Supporting pricing, content strategy, recommendations, or product discovery
  • Proven collaborative roles with stakeholder presentations

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account and 401k program
  • Competitive PTO and parental leave
  • Opportunities for professional growth and development
  • Diverse teams with unique perspectives across industries
  • Hands-on experience with top technologies and multiple clients

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