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7 дней назад

Lead Data Scientist (AI)

145 000 - 175 000$
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 recommendation and personalization models for Peacock’s video streaming service with an accent on deep learning, recommender systems, and real-time and batch deployment. Focus on developing foundation-model and reinforcement-learning solutions, processing large-scale datasets, and integrating data science models into streaming architecture.

Location: New York, United States; hybrid schedule requiring at least four days per week in the office

Salary: $145,000–$175,000 yearly, plus bonus and long-term incentive eligibility

Company

hirify.global is a media and entertainment company producing and distributing film, television, streaming, news, theme park, consumer product, and experiential content through brands including Peacock.

What you will do

  • Develop recommendation and personalization models for one or more Peacock streaming-service verticals.
  • Collect, manipulate, and refine data sources for data science solutions.
  • Collaborate with data scientists, engineers, architects, product managers, and analysts to prioritize personalization improvements.
  • Build real-time and automated batch implementations and integrate them into the streaming-service architecture.
  • Advance the statistical and machine-learning methodologies and tools used by the team.
  • Translate complex data science problems and solutions for stakeholders across the organization.

Requirements

  • Advanced degree (Master’s or PhD) specializing in Statistics, Computer Science, Data Science, Machine Learning, Mathematics, Operations Research, or another quantitative field, or equivalent.
  • 5+ years of combined industry or research experience in machine learning.
  • Experience with commercial recommender systems or a lead role in an advanced research recommender-system project.
  • Strong experience with deep learning.
  • Proficiency in Python.
  • Experience with data processing using SQL and PySpark.
  • Experience with foundation models and other GenAI technologies.

Nice to have

  • Experience with media analytics and data science applications in content streaming and television.
  • Understanding of reinforcement-learning algorithms and graph methodologies.
  • Experience with multi-billion-record datasets and leading projects spanning data science and data engineering.
  • Experience with Kubeflow, Airflow, Databricks, or equivalent tools.
  • Experience with large-scale video assets.
  • Collaborative, team-oriented approach and willingness to learn new methods and tools.

Culture & Benefits

  • Hybrid work requires contributing from the office at least four days per week; in-office requirements may change.
  • Company-sponsored medical, dental, and vision insurance.
  • 401(k), paid leave, tuition reimbursement, discounts, and other benefits.
  • Inclusive culture focused on developing talent and creating content that reflects diverse communities.

Hiring process

  • External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.
  • Reasonable accommodation is available during the application and recruitment process upon request.

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