Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in statistical analysis and experimentation — you've successfully applied various statistical methods to solve complex problems in a business context. Proficiency in SQL is second nature to you, allowing you to manipulate and analyze large datasets effectively. You are also skilled in programming languages such as Python and R, which you use to build models and automate data processes. Your ability to communicate insights clearly to non-technical stakeholders sets you apart, as you can translate complex data findings into actionable recommendations. You thrive in collaborative environments, working closely with product managers, engineers, and marketers to drive data-driven decision-making. You are passionate about leveraging data to enhance user experiences and business outcomes, and you are eager to contribute to a team that values innovation and creativity.

What you'll do

As a Research Data Scientist at Roku, you will play a pivotal role in scaling the company's experimentation capabilities — you will explore and implement scalable statistical methods that can be applied to a wide range of experimentation problems. Your responsibilities will include building tooling for engineers, product managers, and marketers to facilitate data analysis and experimentation. You will collaborate with cross-functional teams to design and analyze experiments, ensuring that insights are actionable and aligned with business goals. You will also be responsible for developing and maintaining documentation for statistical methods and tools, ensuring that best practices are shared across the organization. Your work will directly impact how Roku enhances its product offerings and engages with its audience, making your contributions vital to the company's success.

What we offer

At Roku, you will be part of a fast-growing public company that is changing how the world watches TV — we offer a dynamic work environment where your contributions are valued from day one. You will have the opportunity to work with cutting-edge technologies and methodologies in data science, gaining meaningful experience across various disciplines. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive workplace. Our team is dedicated to providing exceptional experiences for our customers while maximizing the value proposition for the business, and we look forward to welcoming you to our innovative team.