Senior Data Scientist

Roku•San Jose, CA

4d•Hybrid

About The Position

As a Senior Data Scientist at Roku, you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions. You will use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development. This role is hybrid and located in San Jose, CA. Employees are expected to report to the office Monday - Thursday.

Requirements

5+ years of relevant experience in data analytics, data science or business intelligence role.
Previous experience in product analytics is preferred.
Excellent command of SQL and experience working with Big Data.
Experience coding in Python or R.
Hands-on experience with data visualization platform like Tableau, Looker, or similar.
Statistics knowledge like A/B experimentation and statistical inference.
Innate drive towards action in resolving issues and operate in a high-energy, fast-paced environment.
Self-driven, highly motivated, and independent-minded individual who has a natural curiosity for understanding the data and the business.
Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience.
Excellent investigative skills with a passion for finding the root cause of an issue.
The ability to work independently and across multiple time zones.
Ownership mindset. You own the end-to-end lifecycle of a product, starting from ideation and ending with post-launch performance tracking.
Academic background in mathematics, statistics, physics, data science, computer science, or economics.

Responsibilities

Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for device hardware and software health.
Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau, and other visualization platforms.
Develop necessary data pipelines to power automation, validation and reporting.
Use creativity to find proxies where verbatim data or measurement is unavailable.
Collaborate with stakeholders to align data science initiatives with organizational goals and strategy.
Design and execute A/B tests to enhance the streaming experience for customers.
Stay updated with the latest trends and technologies in data science, including the use of artificial intelligence, to drive innovation.