Netflix

Data Scientist - Systems Test Enablement

Netflix

Los Gatos, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to the world of entertainment, where we strive to provide the best streaming experience for our customers. As a Data Scientist for Systems Test Enablement at Netflix, you will play a crucial role in ensuring the quality and reliability of our streaming systems. We are seeking a highly skilled and curious individual who is passionate about using data to drive decision-making and improve user experience. If you are someone who thrives in a fast-paced and dynamic environment, with a strong background in data analysis and systems testing, we want you on our team! Join us at Netflix and be a part of revolutionizing the way the world watches content.

  1. Conduct data analysis to identify trends and patterns in streaming system performance.
  2. Collaborate with cross-functional teams to develop and execute testing strategies for new and existing streaming systems.
  3. Develop and maintain automated testing frameworks and tools to support system testing.
  4. Monitor and analyze streaming system metrics to proactively identify and troubleshoot issues.
  5. Communicate findings and recommendations to stakeholders, including engineers, product managers, and leadership.
  6. Continuously evaluate and improve testing processes and methodologies.
  7. Work closely with software engineers to identify and resolve system defects.
  8. Stay up-to-date with industry developments and emerging technologies in streaming systems.
  9. Provide support for ad-hoc data requests and analyses related to streaming system performance.
  10. Collaborate with other data scientists to develop predictive models and algorithms for system performance optimization.
  11. Document and maintain detailed testing procedures and results.
  12. Act as a subject matter expert on streaming system performance and contribute to team discussions and decision-making.
  13. Train and mentor junior data scientists on testing methodologies and data analysis techniques.
  14. Adhere to data privacy and security protocols to ensure the protection of sensitive information.
  15. Embrace a culture of continuous learning and growth, keeping skills and knowledge up-to-date with industry best practices.
Where is this job?
This job is located at Los Gatos, CA, USA
Job Qualifications
  • Expertise In Data Analysis And Statistical Modeling: A Data Scientist For Systems Test Enablement At Netflix Should Have A Strong Background In Statistical Methods And Data Analysis Techniques. This Includes Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Statistical Modeling Tools.

  • Experience With Large And Complex Data Sets: Netflix Has A Vast Amount Of Data From Its User Base, And A Data Scientist For Systems Test Enablement Should Be Comfortable Working With Large And Complex Datasets. This Includes Knowledge Of Data Management And Data Cleaning Techniques, As Well As Experience With Big Data Technologies Such As Hadoop And Spark.

  • Understanding Of Testing Methodologies: As A Systems Test Enablement Data Scientist, One Should Be Familiar With Various Testing Methodologies And Have Experience In Designing And Implementing Tests For Complex Systems. This Includes Knowledge Of A/B Testing, Multivariate Testing, And Other Statistical Techniques For Evaluating System Performance.

  • Strong Problem-Solving Skills: Data Scientists At Netflix Are Expected To Be Creative Problem Solvers, Able To Identify And Address Complex Issues And Improve System Performance. This Requires Strong Critical Thinking Skills And The Ability To Approach Problems From Multiple Angles.

  • Communication And Collaboration Skills: A Data Scientist For Systems Test Enablement Should Be Able To Communicate Complex Technical Concepts To Non-Technical Stakeholders And Work Collaboratively With Cross-Functional Teams. This Includes The Ability To Present Findings And Recommendations In A Clear And Concise Manner And Work Effectively With Engineers, Product Managers, And Other Team Members.

Required Skills
  • Programming

  • Data Analysis

  • Database Management

  • Big Data

  • Machine Learning

  • A/B testing

  • Data Visualization

  • Experimental design

  • Data Mining

  • Statistical modeling

  • Predictive analytics

  • Data

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Empathy

Compensation

According to JobzMall, the average salary range for a Data Scientist - Systems Test Enablement in Los Gatos, CA, USA is $132,000 - $182,000 per year. This range can vary depending on factors such as experience, education, and the specific company or organization. It is important to note that this is only an average and individual salaries may vary.

Additional Information
Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMay 30th, 2024
Apply BeforeJuly 20th, 2025
This job posting is from a verified source. 
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About Netflix

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.

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