Data Scientist, Prime Video

Amazon • Seattle, WA

1d

About The Position

Are you interested in shaping the future of entertainment? Prime Video's
technology teams are creating best-in-class digital video experience. Prime
Video is a first-stop entertainment destination offering customers a vast
collection of premium programming in one app available across thousands of
devices. Prime members can customize their viewing experience and find their
favorite movies, series, documentaries, and live sports – including Amazon MGM
Studios-produced series and movies; licensed fan favorites; and exclusive access
to coverage of live sports. All customers regardless of whether they have a
Prime membership or not, can access programming from subscriptions such as Apple
TV, Peacock Premium Plus, HBO Max, FOX One, Crunchyroll and MGM+, as well as
more than 900 free ad-support (FAST) Channels, rent or buy titles, and enjoy
even more content for free with ads.

The Prime Video Personalization and Discovery team matches customers with the
right content at the right time, at all touch points throughout the content
discovery journey. We are looking for a customer-focused, solutions-oriented
Data Scientist to help build new data-driven frameworks to understand what makes
new personalization and content discovery innovations successful for users and
the business. You'll be part of an embedded science team on projects that are
fast-paced, challenging, and ultimately influence what millions of customers
around the world see when the log into Prime Video.

The ideal candidate brings strong problem-solving skills, stakeholder
communication skills, and the ability to balance technical rigor with delivery
speed and customer impact. You will build cross-functional support within Prime
Video, assess business problems, define metrics, and support iterative
scientific solutions that balance short-term delivery with long-term science
roadmaps.

Requirements

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data scientist experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree

Nice To Haves

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Responsibilities

• Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
• Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
• Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
• Partner with product stakeholders and senior science peers to identify strategic data-driven opportunities to improve the customer experience
• Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
• Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level