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# Data Scientist

- **Company:** Roku, Inc.
- **Location:** New York, United States (Remote available)
- **Experience:** Expert
- **Salary:** $126,000.0 - $199,750.0
- **Contract:** Internship / Graduate position
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Big Data, Network Analysis, Cloud Computing, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, SciPy, SQL Databases, Tableau (Software), Data Processing, Deep Learning, Git, Pandas, Scikit Learn, Data Analytics, Markov, Looker Analytics, Software Version Control, Data Pipelines
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/a140feaa-98e2-464b-a051-e8833e8c5b62

## About the Role

* 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:
 1. Hypothesis testing, and statistical analysis.
 2. Statistical Modeling and Machine Learning techniques, including Network Analysis, Natural Language Processing, and Deep Learning Model.
 3. Mathematical and Optimization Models, including Stochastic Model, Markov Chain Simulation Model, and Robust Optimization Model.
 4. SQL and Big Data Processing and Analysis.
 5. Python or R and numerical and scientific libraries used for statistics and machine learning, including Pandas, NumPy, SciPy, scikit-learn.
 6. Version Control and Cloud Platforms, including Git, AWS SageMaker, and S3.
 7. Creating data visualizations and intuitive management reporting, including Tableau and graphing capabilities in either R or Python.

## Description

* 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.


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