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InternВ офисеКонтракт

Talent Analytics Intern (Summer 2026)

Оценка ИИ

Престижная компания с мировым именем, интересные задачи на стыке психологии и ИИ, а также возможность внести реальный вклад в развитие интернета. Локация в Остине — крупном технологическом хабе.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня академической подготовки (Master's или PhD) и владения сложными методами статистики. Основная сложность заключается в необходимости сочетать глубокие знания организационной психологии с навыками Data Science.

Анализ зарплаты

Медиана65 000 $
Рынок45 000 $ – 85 000 $
Оценка ИИ

Указанная позиция является стажировкой для студентов магистратуры и PhD. Рыночные ставки для таких ролей в Остине в технологических компаниях уровня Cloudflare обычно выше средних по рынку для интернов.

Сопроводительное письмо

I am writing to express my strong interest in the Talent Analytics Intern position at Cloudflare for Summer 2026. As a graduate student specializing in Industrial-Organizational Psychology, I have long admired Cloudflare’s commitment to building a better internet and its data-driven approach to fostering an innovative company culture. My background in statistical modeling and my passion for understanding the employee lifecycle align perfectly with your mission to bridge the gap between raw people data and actionable organizational strategy.

During my academic career, I have developed a robust toolkit in R and SQL, applying regression and clustering techniques to complex datasets. I am particularly drawn to this role because it goes beyond traditional data analysis, requiring a deep dive into organizational behavior and the future of work. I am eager to contribute to Cloudflare by building predictive models for attrition and quality of hire, ensuring that my research provides a lasting foundation for your Talent Acquisition and People Analytics teams.

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Откликнитесь в cloudflare уже сейчас

Присоединяйтесь к Cloudflare этим летом, чтобы создавать будущее интернета через науку о данных и организационную психологию!

Описание вакансии

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Austin, TX

About the role:

The Talent Analytics Intern will serve as a strategic researcher within the Talent Acquisition and People Analytics departments. This role is responsible for designing and executing research projects that provide deep insights into the efficacy of our hiring processes, the drivers of high performance, and the factors influencing employee retention. Unlike traditional data analyst roles, this position requires a deep understanding of organizational behavior, HR/recruiting processes and the employee lifecycle. The intern will be expected to create standardized frameworks and documentation that will remain with the organization, ensuring that their summer contributions serve as a permanent foundation for future analytical efforts.

Primary Responsibilities

  • Collaborate with key stakeholders to define critical research questions related to quality of hire, recruiting processes, workforce planning, retention, and employee lifecycle.
  • Balance quantitative data with qualitative insights (survey responses) to provide a full view of the candidate/employee experience.
  • Apply statistical methods and data science techniques (e.g., regression, clustering, forecasting) to large-scale HR datasets to build predictive models for attrition, quality of hire, and performance management.
  • Document methodologies and metrics definitions to promote a culture of continuous improvement/learning.
  • Translate complex findings into clear, actionable recommendations for People Team Leadership and Business Partners.
  • Conduct external market research on the future of work / AI, utilizing benchmark data and internal insights to support Cloudflare's efforts in attracting and developing the best talent.

Required Skills, Knowledge, and Experience:

  • Currently enrolled in a Masters or PhD program in Industrial-Organizational Psychology, Organizational Behavior, Statistics or a related field.
  • Strong analytical and problem-solving skills with the ability to turn data into actionable insights.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Demonstrated track record and exceptional judgment handling sensitive data.

Preferred Skills:

  • Familiarity with statistical modeling and data manipulation using Python, R, BigQuery/SQL, and/or visualization tools.
  • Experience working with candidate and employee related data across the entire talent lifecycle.
  • Advanced coursework or research experience in applications of AI, work motivation, employee selection, job analysis, or psychometrics.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by ourprivacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • Statistics
  • Data Visualization
  • BigQuery
  • R
  • Predictive Modeling
  • Data Science
  • Organizational Behavior
  • Industrial-Organizational Psychology

Возможные вопросы на собеседовании

Вакансия требует проведения исследований в области жизненного цикла сотрудника.

Как бы вы спроектировали исследование для определения ключевых факторов удержания сотрудников в технологической компании?

Упоминается использование регрессии и кластеризации.

Опишите случай, когда вы использовали статистическое моделирование (например, регрессию) для решения практической бизнес-задачи. Каковы были результаты?

Роль предполагает работу с конфиденциальными данными сотрудников.

Как вы обеспечиваете этичность и конфиденциальность при работе с чувствительными HR-данными?

Cloudflare ценит культуру итераций и использование ИИ.

Как, по вашему мнению, генеративный ИИ может изменить процессы подбора и оценки талантов в ближайшие годы?

Важной частью работы является трансляция выводов руководству.

Как вы объясните сложную статистическую концепцию (например, логистическую регрессию) стейкхолдеру, который не разбирается в данных?

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