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5 дней назад

Senior Data Scientist (ML)

Формат работы
onsite
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

Текст:
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TL;DR

Senior Data Scientist (ML): Developing and deploying advanced machine learning solutions to optimize user engagement and retention for mobile applications with an accent on app personalization, content recommendation, and ad targeting. Focus on analyzing large-scale datasets, designing A/B tests, and building predictive models to drive data-driven decision-making.

Location: On-site in Edmond, OK, USA

Company

hirify.global is a multi-site Christian church that operates YouVersion, a ministry focused on creating biblically-based mobile app experiences worldwide through innovative technology.

What you will do

  • Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.
  • Develop, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.
  • Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies.
  • Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.
  • Develop interactive dashboards and visualizations to present insights to product, marketing, and engineering teams.
  • Mentor junior data scientists and analysts, providing guidance and leading cross-functional data projects.

Requirements

  • On-site in Edmond, OK, USA.
  • Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
  • 5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.
  • Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML.
  • Proficiency in Python or R for data analysis, modeling, and machine learning.
  • English: B2 required.

Nice to have

  • Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker.
  • Experience with app tracking frameworks and attribution tools (e.g., Firebase, Adjust, AppsFlyer).
  • Knowledge of statistical techniques for experiment design and analysis.
  • Familiarity with app store optimization (ASO) and mobile marketing analytics.

Culture & Benefits

  • Paid parental leave, generous employer-paid leave for vacation and sick time.
  • Comprehensive Medical, Dental, and Vision insurance, along with life insurance and short-term/long-term disability.
  • Comprehensive wellness and mental health benefits to invest in physical and emotional health.
  • Generous 401(k) retirement plan allowing up to 12.5% contribution in the first year.
  • $160 annually in development dollars for professional growth.
  • Casual dress and work environment.

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