Senior Data Scientist

Roku•New York, NY

8d•$126,000 - $199,750•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.