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3 дня назад

Data Scientist Intern (AI)

6 880$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
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

Data Scientist Intern (AI): Analyzing large-scale datasets to enhance user experience and platform safety with an accent on machine learning, statistical modeling, and A/B experimentation. Focus on developing predictive models and LLMs to solve real-world challenges in human connection.

Location: Must be based in or able to work in Los Angeles, California (Hybrid: 3 days in-office per week)

Salary: $43 per hour (approx. $6,880/month)

hirify.global is a leading global social platform dedicated to fostering human connections through innovative behavioral science and AI-driven matchmaking.

What you will do

  • Explore and analyze massive datasets to uncover trends and product opportunities.
  • Develop and evaluate ML models and LLMs to improve user engagement.
  • Design and execute A/B experiments to validate product features.
  • Collaborate with cross-functional teams to translate data into actionable strategies.
  • Present project outcomes and data narratives to product and leadership teams.
  • Standardize and automate team tools and documentation for experimentation.

Requirements

  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Economics, Statistics, or Applied Math.
  • Intermediate to advanced proficiency in SQL.
  • Experience or strong familiarity with Python.
  • Deep understanding of statistics, probability, and machine learning fundamentals.
  • Knowledge of data structures and algorithms.
  • Availability for the program duration: June 1, 2026 – August 28, 2026.

Culture & Benefits

  • Inclusive environment that celebrates diversity and unique perspectives.
  • Opportunity to work on one of the world's largest datasets.
  • Exposure to cutting-edge AI and ML implementation in a consumer-facing product.
  • Collaboration with experienced engineers, data scientists, and product leaders.

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