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
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
- 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.
For individuals with disabilities who would like to request an
accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will
consider for employment qualified applicants with arrest and