- Salary
- $126k – $200k
- Location
- New York, New York
- Department
- Education
- Seniority
- Senior
- Experience
- 2+ years
Description
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.
What you'll be doing
- Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management.
- Use Roku’s enriched datasets to perform analyses to identify trends and patterns in the data and to support the business with strategic decisions.
- Build data processing and reporting pipelines using SQL, Python, and Airflow.
- Develop data visualization that illustrates complex platform phenomena using tools such as Looker and Tableau.
- Partner with leadership, engineers, and data engineers to understand business needs and how these can be addressed through analytics.
- Use creativity to find proxies where verbatim data or measurements are unavailable.
- Automate dashboard and build data pipelines that help various stakeholders gather real-time insights and make informed decisions.
- Up to one day per week telecommuting may be permitted.
You are required to have
- Master’s degree or foreign equivalent in Operations Research, Data Science, or related field.
- Will also accept Bachelor’s degree or foreign equivalent in Operations Research, Data Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation.
- Must have prior experience, internship, project background, or advance level coursework in each of the following:
- Hypothesis testing, and statistical analysis.
- Statistical Modeling and Machine Learning techniques, including Network Analysis, Natural Language Processing, and Deep Learning Model.
- Mathematical and Optimization Models, including Stochastic Model, Markov Chain Simulation Model, and Robust Optimization Model.
- SQL and Big Data Processing and Analysis.
- Python or R and numerical and scientific libraries used for statistics and machine learning, including Pandas, NumPy, SciPy, scikit-learn.
- Version Control and Cloud Platforms, including Git, AWS SageMaker, and S3.
- Creating data visualizations and intuitive management reporting, including Tableau and graphing capabilities in either R or Python.
The annual salary for this position for NY only is $126,000 - $199,750.
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.
#LI-DNI
What's Roku's approach to hybrid working?
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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 [email protected].
What should I know about Roku's 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 [email protected].
