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SeniorГибридПолная занятость

Senior Data Scientist

Оценка ИИ

Roku — лидер рынка с сильной инженерной культурой и интересными задачами на стыке продукта и данных. Высокий балл обусловлен масштабом влияния на продукт, хотя требование работы в офисе 4 дня в неделю может подойти не всем.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня владения SQL и Python, а также глубокого понимания продуктовых метрик и методологии A/B тестирования. Ожидается способность влиять на бизнес-решения и работать в гибридном режиме 4 дня в неделю из офиса.

Анализ зарплаты

Медиана82 000 £
Рынок70 000 £ – 100 000 £
Оценка ИИ

Указанная роль Senior уровня в Кембридже предполагает конкурентную зарплату. Рыночные оценки для опытных Data Scientist в этом регионе обычно находятся в диапазоне £70,000 - £95,000 в год, не включая бонусы и акции (RSU), которые часто предлагают публичные компании вроде Roku.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Scientist position at Roku. With over 4 years of experience in product analytics and a deep expertise in SQL, Python, and A/B testing, I have a proven track record of transforming complex data into actionable insights that drive product growth. My background in developing end-to-end analytics pipelines and interactive dashboards aligns perfectly with your team's mission to enhance the Live product experience.

Throughout my career, I have focused on bridging the gap between technical data science and business strategy. I am particularly drawn to Roku's culture of pragmatic innovation and the opportunity to work in a fast-paced environment where data-driven decisions directly impact how millions of users discover content. I am confident that my analytical skills and bias for action will allow me to make a significant contribution to the Core Analytics team.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в roku уже сейчас

Присоединяйтесь к команде Roku и определяйте будущее стриминга для миллионов зрителей по всему миру!

Описание вакансии

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing

  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
  • Advise on key product development strategy decisions to drive our Live product experience
  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
  • Develop necessary data pipelines to power automation, validation and reporting
  • Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
  • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities

We're excited if you have

  • 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
  • 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred
  • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
  • Demonstrated ability to influence quantitatively meaningful business outcomes
  • Hands on experience with visualization tools like Tableau or Looker
  • Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
  • Hands on experience in A/B testing and statistical modeling/forecasting

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • SQL
  • Python
  • R
  • SAS
  • Tableau
  • Looker
  • A/B Testing
  • Statistical Modeling
  • Forecasting
  • Data Visualization
  • Data Pipelines
  • Product Analytics

Возможные вопросы на собеседовании

Проверка навыков приоритизации и понимания бизнес-ценности в продуктовой аналитике.

Как бы вы определили и измерили успех новой функции в разделе 'Live TV' на платформе Roku?

Оценка технической грамотности в проведении экспериментов.

Опишите случай, когда результаты A/B теста были неоднозначными. Как вы интерпретировали данные и какие рекомендации дали команде?

Проверка умения работать с данными от начала до конца.

Расскажите о самом сложном пайплайне данных, который вы разработали. С какими проблемами качества данных вы столкнулись?

Оценка навыков коммуникации с нетехническими стейкхолдерами.

Как вы объясняете сложные статистические модели или инсайты менеджерам по продукту, которые не имеют технического бэкграунда?

Проверка опыта работы в индустрии медиа и развлечений.

Какие специфические метрики удержания (retention) наиболее важны для стриминговой платформы и почему?

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