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Senior Data Scientist, Consumer Privacy

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US 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 team

The Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business.

 

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting user privacy and integrity product. In this role, you will leverage data analytics to support and improve our user privacy and integrity initiatives, identifying trends, mitigating risks, and providing actionable insights to make our team more efficient and safeguard our users, understand privacy behavior of consumers and provide insights that help guide strategic product and business decision. 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.

This role can be located in Boston, NYC, Austin, or Chicago.

 

What you'll be doing

  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
  • 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
  • Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our privacy product
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
  • Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
  • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities

We're excited if you have

  • 5+ 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)
  • 5+ years of experience across mobile, consumer product, digital media or entertainment industries
  • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
  • 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
#LI-EG1

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.

 

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 have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

What You Should Know About Senior Data Scientist, Consumer Privacy, Roku

Roku is looking for a talented Senior Data Scientist focused on Consumer Privacy to join our energetic Core Analytics team in Boston. Now, if you’re someone who thrives on using data to drive insights and shape strategies that protect user privacy, we want to talk to you! As the leading TV streaming platform in the U.S. and Mexico, Roku's mission pivots around connecting consumers to the content they cherish while ensuring their data is safeguarded. In this role, you'll have the opportunity to collaborate with our dynamic Product and Engineering teams, immersing yourself in data analytics to bolster user privacy initiatives. You’ll uncover trends, mitigate risks, and generate actionable insights that empower our organization. Your expertise will help us create new features that enhance the user experience while driving adoption of privacy-tech initiatives. With your quantitative background and proficiency in tools like SQL and Tableau, you’ll develop dashboards and visualizations that monitor operational health and performance. Additionally, your role involves A/B testing, automating reporting, and a hands-on approach to understanding what drives success for our privacy product. If you’re detail-oriented with exceptional problem-solving skills and are excited about helping improve data integrity at Roku, we invite you to explore this opportunity and join our mission to transform how the world enjoys TV!

Frequently Asked Questions (FAQs) for Senior Data Scientist, Consumer Privacy Role at Roku
What are the responsibilities of a Senior Data Scientist in Consumer Privacy at Roku?

As a Senior Data Scientist focusing on Consumer Privacy at Roku, your key responsibilities will include developing and maintaining analytics dashboards to monitor key operational metrics, analyzing both structured and unstructured data to provide insights and drive data-informed decisions. You'll also be working closely with stakeholders to develop data science initiatives that align with organizational goals, execute A/B tests, and develop analytical tools to enhance our privacy products.

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What qualifications are needed to become a Senior Data Scientist for Consumer Privacy at Roku?

Candidates for the Senior Data Scientist position at Roku should possess a minimum of 5 years of experience in quantitative fields like Data Science, Statistics, or Mathematics, along with a relevant Bachelor's or Master's degree. Experience in mobile, digital media, or consumer products is also essential, as well as proficiency in tools such as SQL, Python, and data visualization platforms like Tableau.

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How does the Senior Data Scientist role at Roku impact user privacy?

The Senior Data Scientist for Consumer Privacy at Roku plays a pivotal role by leveraging data analytics to safeguard user information and ensure integrity across our platform. By identifying trends associated with consumer privacy behavior, you'll provide valuable insights that guide strategic product decisions aimed at enhancing user trust and engagement.

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What tools and technologies are important for a Senior Data Scientist at Roku?

In the Senior Data Scientist role at Roku, familiarity with programming languages such as SQL, Python, and analytics tools like R is crucial. Additionally, experience with data visualization software like Tableau or Looker will facilitate effective communication of insights to stakeholders, supporting data-driven decision-making processes.

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What is the team culture like for a Senior Data Scientist in Consumer Privacy at Roku?

The culture at Roku places strong emphasis on teamwork and collaboration. As a Senior Data Scientist in Consumer Privacy, you’ll be surrounded by independent thinkers who value problem-solving and innovation. The fast-paced environment encourages action and results, fostering a sense of humor and camaraderie among team members as they collectively strive to enhance the user experience.

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Common Interview Questions for Senior Data Scientist, Consumer Privacy
Can you explain your experience with data visualization tools as a Senior Data Scientist?

In interviews, emphasize your proficiency with various data visualization tools. For instance, share specific projects where you used Tableau or Looker to create dashboards that communicated complex data in an easily digestible format, allowing stakeholders to make informed decisions.

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What strategies do you employ for conducting A/B testing?

Discuss your systematic approach to A/B testing, detailing how you set clear objectives, segment audiences effectively, and ensure statistically significant results. Highlight any tools you've used to analyze the outcomes and how this data has influenced product decisions at your previous roles.

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How do you approach problem-solving in data discrepancies?

Describe your analytical mindset by outlining a specific instance where you encountered data discrepancies. Explain how you identified the root cause through thorough investigation and the steps you took to rectify the issue while implementing measures to avoid future occurrences.

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Give an example of a project where you improved user privacy through data insights.

Prepare a narrative that reflects on a relevant project where your data analysis directly resulted in enhanced privacy measures. Focus on how your insights were applied to develop features or protocols that better protected user information.

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What metrics do you consider most important when evaluating privacy success?

Outline key performance indicators (KPIs) such as user trust ratings, data breach incidences, or compliance adherence rates. Discuss how tracking these metrics can inform business strategies and lead to improvements in user privacy initiatives.

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How do you stay updated with industry trends related to consumer privacy?

Elaborate on your dedication to continuous learning through attending industry conferences, following privacy-focused publications, or participating in webinars. Mention how you integrate this knowledge into your role to enhance data analysis and privacy strategies.

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Describe how you prioritize your workload in a fast-paced environment.

Share specific techniques you use to manage competing priorities, such as the Eisenhower Matrix or agile methodologies. Personalize your answer by providing an example of a time when you successfully juggled multiple projects while maintaining high-quality work.

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What role does collaboration play in your work as a Data Scientist?

Discuss your commitment to collaboration, highlighting instances where working closely with cross-functional teams has led to successful project outcomes. Describe your communication strategies and how you ensure everyone is aligned on goals.

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How would you deal with resistance to implementing data-driven recommendations?

Prepare to share how you would address skepticism towards data-driven recommendations by fostering understanding through clear communication about the data's relevance and demonstrating past successes. Mention any tactics you use to encourage acceptance and collaboration.

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What advanced analytical techniques do you specialize in?

Highlight your expertise in advanced analytics such as predictive modeling or machine learning, clarifying the contexts in which you have applied these skills. Provide examples of projects where these techniques led to effective decision-making or strategic insights.

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Roku is a leading global tech company founded by Anthony Wood in 2002 that specializes in distributing streaming services via Roku-branded players and smart TVs. Roku tops US streaming TV distribution, reaching about 120 million people as of 2024.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Customer-Centric
Dare to be Different
Reward & Recognition
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Paid Sick Days
Paid Time-Off
Paid Holidays
FUNDING
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SENIORITY LEVEL REQUIREMENT
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 30, 2024

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