Data Scientist

Job Description

Want to shape the future of television through data science? We've got the shows people love to watch (Jack Ryan, The Expanse, The Boys) and the Emmy Awards love to honor (The Marvelous Mrs. Maisel, Fleabag). You've got the skills to unlock the patterns behind how people consume that content and ways the content development, marketing, and scheduling can be optimized.

We are looking for a customer-focused, solutions-oriented Data Scientist for our Amazon Studio Data Science team. The department is growing to provide more insights about our viewers and provide analytical solutions for the acquisition and retention of customers, revenue enhancement, and the delivery of a compelling consumer experience.

The goal of the role is to use the most effective data modeling techniques to discover the kinds of shows people want to see, the marketing that drives them to action, the scheduling and pacing of our releases, and the models that make it all work. The data tools you build and the algorithms you create will help drive and define the future of television for millions of customers.

Responsibilities:
• Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.
• Understand the business reality behind large sets of data and develop meaningful analytic solutions.
• Work closely with internal stakeholders in finance, marketing, creative development, business affairs, strategy, and program planners.
• Innovate by adapting to new modeling techniques and procedures.

BASIC QUALIFICATIONS
• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS
• A PhD in statistics, computer science, engineering, mathematics, or a highly quantitative field.
• Experience collaborating with Data Engineers to build data pipelines.
• Experience building, testing, deploying and maintaining Machine Learning models with containers or ML API's.
• Experience building frontend ML capabilities to enhance model accessibility and usage.
• Experience with cloud computing (EMR, S3, EC2, Redshift) and big data tools (Spark, Hadoop, HDFS).
• Experience with natural language processing and computer vision.
• Engineering skills such as Linux, version control and code reviews.
• Demonstrates ability to solve open-ended problems by framing own hypothesis, creating meaningful metrics, and selecting the appropriate modeling approach.
• Demonstrates clear and concise written communication and presentation skills.
• Meets/exceeds Amazon's leadership principles requirements for this role
• Meets/exceeds Amazon's functional/technical depth and complexity for this role
• Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age
• Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Jobcode: Reference SBJ-gxkwkz-18-222-163-31-42 in your application.