Data Scientist
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Job Location:
San Jose, CA - USA
Yearly Salary:
$ 86000 - 166000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 weve 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 youll make a valuable - and valued - contribution. Were 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
At Roku data is at the center of everything we do. Our passion for data has made us a leader in the world of data-driven decision-making. We are looking for a Data Scientist to drive forecasting reporting and analyzing for Rokus Key Performance Metrics (KPMs). Streaming Hours and other engagement metrics are used by senior leadership to understand our user base health develop financial forecasts and make strategic decisions. The role is part of a team that works closely with finance and other executive members to support corporate strategy and serve as a trusted advisor by leaders across the organization.
About the Role
The person in this role will leverage their business acumen and love of data to provide business insights that are relevant and digestible to key decision makers at Roku. The role requires both high technical aptitude and problem-solving abilities motivation and exceptional attention to detail. The successful candidate will display a balance of hard and soft skills including the ability to respond quickly to changing business needs.
For California Only - The estimated annual salary for this position is between $86000-$166000 annually. Compensation packages are based on factors unique to each candidate including but not limited to skill set certifications and specific geographical location. This role is eligible for health insurance equity awards life insurance disability benefits parental leave wellness benefits and paid time off.
Roku will be accepting applications for this position until October 27 2025 or until the position filled.
What Youll Be Doing
- Support the analytical needs of the finance team and executive leadership inclusive of business performance reporting ad hoc analysis statistical inference and predictive modeling for Rokus KPMs
- Provide analytical support and monitor key performance indicators highlighting trends and analyzing causes of changes. Conduct deep dives when observing abnormal trends and identify potential risks before they manifest
- Understand drivers of value creation to guide strategic and financial planning
- Leverage Rokus vast amounts of data to generate business insights that inform strategy at the highest levels of leadership
- Ensure accuracy of key performance metrics before they are released both internally and externally
- Deliver presentations to clearly and effectively communicate findings to stakeholders
Were excited if you have
- 2 years of relevant experience in a quantitative field (e.g. data scientist analyst technical consulting) in technology e-commerce or finance
- Excellent command of SQL and experience working with Big Data
- Proficient in Excel
- Experience in R or Python
- Experience with data visualization platform like Tableau Looker etc
- Statistics knowledge: A/B testing statistical inference interpretation of data etc.
- Strong communication skills across verbal written and presentations
- Academic background in math physics computer science economics engineering
#LI-ELG1
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. Its 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 companys 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. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats 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 isnt 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 weve grown visit providing your information you acknowledge that you want Roku to contact you about job roles that you have read Rokus 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 here at any time.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
