Data Scientist, Prime Video

Amazon; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC in Seattle is seeking a data scientist to shape the future of Prime Video personalization and discovery. You will work on data-driven frameworks to understand what drives viewer engagement and business impact, embedded within a fast-paced, cross-functional team.

Responsibilities include building end-to-end data science workflows, collaborating with product stakeholders, and communicating findings to both technical and non-technical audiences, while staying current with

Qualifications

• 3+ years of SQL or Python, or similar data querying/scripting experience.
• 2+ years of data scientist experience.
• 3+ years of ML/statistical modeling experience.
• Bachelor's degree.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Use advanced statistical and machine learning techniques on large-scale data to extract insights.
• Design end-to-end data science workflows from data to deployment.
• Support scalable self-service data analyses by building datasets for analytics and ML use cases.
• Partner with product stakeholders to identify data-driven opportunities to improve customer experience.
• Communicate findings and recommendations to technical and non-technical stakeholders.
• Stay up-to-date on data science tools and best practices.

Skills

SQL

Python

R/Matlab/SAS

ML/Stat Modeling

Data analysis

Education

Bachelor's degree

Job description

Job ID: 3204874 | Amazon.com Services LLC

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 they 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.

Key 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

Basic Qualifications

• 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
• Experience applying theoretical models in an applied environment

Preferred Qualifications

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

Compensation & Benefits

Salary range (Seattle, WA): $136,000.00 - $184,000.00 USD annually.

Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.