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3 дня назад

Lead Data Scientist (AI)

170 000 - 190 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
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
Lead Data Scientist (AI): Building segmentation, customer lifetime value, retention, forecasting, and experimentation models for Fandango and Rotten Tomatoes analytics with an accent on predictive modeling, causal inference, and scalable data products. Focus on integrating AI into analytical workflows, setting methodological standards, mentoring analysts and scientists, and delivering responsible solutions with measurable impact.

Location: Hybrid in Universal City, California, United States; generally contributing from the office at least three days per week. An in-person interview may be required.

Salary: $170,000–$190,000 annually, bonus eligible.

Company

hirify.global is a media and entertainment business operating across political news, business news and personal finance, golf, and sports and genre entertainment, with brands including Fandango and Rotten Tomatoes.

What you will do

  • Build segmentation, customer lifetime value, retention, and forecasting models for Fandango and Rotten Tomatoes.
  • Develop reusable frameworks, scalable data products, and self-service analytics adopted by business stakeholders.
  • Set experimentation methodology and causal-inference standards across the organization.
  • Provide technical leadership for AI solutions that redesign analytical workflows and deliver measurable gains in speed and quality.
  • Partner with Product, Engineering, Marketing, and Finance to turn modeling into actionable recommendations.
  • Mentor analysts and scientists while promoting responsible AI practices, risk assessment, and bias mitigation.

Requirements

  • Degree in a quantitative or technical field, or equivalent practical experience.
  • 7+ years of experience in data science or analytics, including leading technical work as an individual contributor and guiding data-informed strategy.
  • Hands-on expertise in predictive modeling and machine learning, including segmentation, customer lifetime value, and forecasting models.
  • Strong command of experimentation and causal inference, including experience setting organizational standards.
  • Expert SQL skills and a modern data science toolkit, with a solid understanding of data pipelines and data modeling.
  • Technical leadership experience, including AI technical leadership and integrating AI tools to redesign workflows and drive measurable impact.
  • Experience working across Product, Engineering, Marketing, and Finance.
  • Exceptional problem framing and communication skills, with the ability to turn complex modeling into recommendations for senior leaders.
  • Experience mentoring and raising the technical capability of analysts or scientists.

Nice to have

  • Experience in media, streaming, entertainment, or consumer subscription and transactional businesses.
  • Advanced degree in a quantitative field.

Culture & Benefits

  • Hybrid work arrangement with office attendance generally required at least three days per week.
  • Medical, dental, and vision insurance.
  • 401(k), paid leave, and tuition reimbursement.
  • Additional discounts and perks.
  • Company-sponsored benefits are available for the position.

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