Sr. Data Scientist, Prime Video

Amazon; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Prime Video is seeking a data scientist to help build data-driven frameworks for personalization and content discovery. You will work on fast-paced, cross-functional projects that influence what millions of customers see.

The role requires strong problem-solving, stakeholder communication, and the ability to balance rigor with delivery speed. You will design end-to-end data science workflows, develop scalable analyses, and mentor peers on a data science team while staying current with

Qualifications

• 5+ years of data querying languages (e.g. SQL) or scripting languages (e.g. Python) experience.
• 4+ years of data scientist experience.
• Bachelor's degree.
• Experience with statistical models e.g. multinomial logistic regression.

Responsibilities

• Use advanced statistical and machine learning techniques to extract insights from large data sets.
• Design and implement end-to-end data science workflows from data acquisition to deployment.
• Support scalable 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 to technical and non-technical stakeholders.
• Stay up-to-date on data science tools and best practices and evangelize them across the org.

Skills

SQL

Python

R

SAS

MATLAB

Education

Bachelor's degree

Tools

SQL

Python

R

SAS

MATLAB

Job description

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.

Key job 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

• - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• - 4+ years of data scientist experience
• - Bachelor's degree
• - Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• - 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• - Experience managing data pipelines
• - Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.

The base salary range for this position is listed below. 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.

USA, WA, SEATTLE - 159,200.00 - 215,300.00 USD annually