Research Scientist

Job ID: 1554788 | Services LLC


Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the leading streaming services today, and we're just getting started. We need your passion, innovative ideas, and creativity to help take the service to new heights.

The Amazon Studios team is chartered to produce original content and license studio programs worldwide in service of Amazon’s Prime Video customers. The team is responsible for bringing popular TV and movies to their customers and introducing distinctive, award-winning originals like The Marvelous Mrs. Maisel and ground-breaking, popular shows like The Man in the High Castle, Jack Ryan, and The Boys.

We are looking for a customer-focused, business-oriented Research Scientist to join our Amazon Studios Science team, which focuses on building analytical tools to optimally deploy content investment based on projected value, fit with customer needs, content traits with disproportionate impact, and risk-return tradeoffs. Tools typically take the form of prediction models, simulation models, and valuation models which forecast the performance and economic impact of title-level and portfolio-level decisions. Models are scaled globally and made accessible to business users through front-end dashboards and apps.

You will use statistical analysis, predictive modeling, and data analytics to discover the kinds of differentiated and irreplaceable shows people value most, what they want more of, and how to fit a diverse portfolio of titles together to deliver a clear, compelling proposition that is greater than the sum of its parts. The analysis you conduct and algorithms you create will help drive and define the future of television for millions of customers globally.

About the team
We are a team of scientists, software engineers, and product managers that builds analytical tools in support of programming & scheduling, portfolio optimization, show development, and greenlighting decisions for Amazon Studios. Projects are prioritized based on potential financial impact, taking into consideration the magnitude and scale of decisions as well as headroom to improve decision making through analytics. At the same time, we recognize making great content is a creative process, and our solutions are designed to inform and accelerate versus supersede creative decision making.


· PhD or equivalent Master's degree plus 5+ years of research experience in a quantitative field
· 3+ years experience investigating the feasibility of applying scientific principals and concepts to business problems and products
PhD degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, or a related field and two years of experience in the job offered, or as a Research Scientist, Data Scientist, or a related occupation. Employer will accept a Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the PhD and two years of experience. Must have two years of experience in the following skill(s): programming with a major programming language such as Java, C, Python, or a related programming language; and formulating and solving ambiguous optimization problems.


· Prior experience with cloud computing (EMR, S3, EC2, Redshift) and big data tools (Spark, Hadoop, HDFS).
· Comfortable with open-ended problems.
·Demonstrates ability to frame your own hypothesis, create meaningful metrics, and select the modeling approach.
· Demonstrates clear communication and presentation skills.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.