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20 часов назад

Senior Data Scientist (Yahoo Mail)

128 250 - 266 875$
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 (hirify.global Mail): Lead strategic analysis for hirify.global Mail’s subscription business across the subscription funnel with an accent on acquisition, conversion, pricing, upgrade flows, feature adoption, retention, and churn. Focus on building rigorous experimentation and advanced analytics to deliver clear, actionable insights that improve product decisions and growth outcomes.

Location: United States of America

Salary: $128,250.00 - $266,875.00/yr

Company

hirify.global Mail Data Science & Analytics drives experimental analysis, data science, and business intelligence to improve product experiences.

What you will do

  • Partner with product, engineering, design, and business stakeholders to shape the future of hirify.global Mail subscriptions.
  • Lead strategic analysis across the subscription funnel: acquisition, conversion, pricing, upgrades, adoption, retention, and churn.
  • Design and run rigorous experimentation, including A/B testing and multivariate testing, to support faster decision-making.
  • Produce clear, actionable insights from advanced analyses for both technical and non-technical stakeholders.
  • Apply statistical methods and predictive modeling to understand user behavior and improve growth strategy.

Requirements

  • 6+ years of data science/product analytics experience (4+ years with a Ph.D.) in consumer internet, digital media, digital commerce, or product development.
  • Strong expertise in SQL and Python.
  • Experience with big data technologies such as BigQuery, Hive, Hadoop, and Spark.
  • Hands-on experimentation experience with A/B testing and multivariate testing frameworks.
  • Strong machine learning skills (e.g., clustering, neural networks, predictive modeling) and statistical techniques (correlation, regression, time series, experimentation design).
  • Subject matter expertise in consumer internet products; experience in commerce/shopping is required.

Nice to have

  • Experience with AI-driven products, data platforms, or analytics workflows.
  • Familiarity with project management tools (e.g., JIRA, Confluence).

Culture & Benefits

  • Flexible hybrid work options; occasional in-person events or team sessions may be required with advance notice.
  • Comprehensive benefits including healthcare and a 401k.
  • Backup childcare and education stipends.
  • Compensation may include discretionary annual bonus or commissions.

Hiring process

  • Recruiter screens and confirms whether the role requires regular office attendance.
  • Interviews evaluate analytical depth, experimentation approach, and stakeholder communication.

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