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Data Scientist , Prime Video - AdvertisingAmazon • United States
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Data Scientist , Prime Video - Advertising

Amazon
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Description
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 programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video team member, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!
The Prime Video Ads - Growth, Engagement and monetization (GEM) team is responsible for deciding for every stream, every break, every impression what the right ad experience is for the customer and the right price for the advertiser. We own the centralized decisioning layer, the situation-aware ad load system, the ML prediction platform, the long-term measurement framework, and the experimentation platform that gates every change to production.
We are hiring a customer-focused, solutions-oriented Data Scientist to build and guide data-driven frameworks that determine which personalization, yield, and supply innovations are working for customers, advertisers, and the business. You will be embedded on projects that are fast-paced, challenging, and directly influence what hundreds of millions of customers see when they watch Prime Video.
Key job responsibilities
Use advanced statistical and machine learning techniques to extract insights from large-scale streaming, ad delivery, and auction data sets.
Design and implement end-to-end data science workflows from data acquisition and cleaning through model development, offline evaluation, A/B testing, and production deployment in partnership with product and engineering teams
Build, validate, and maintain the statistical models that support the roadmap including Supply tier classification and Supply Quality Index, ad tolerance and fatigue scoring, and propensity and disengagement prediction
Partner with product and economist teams to design hold out experiments to measure impact of Ad load on revenue and customer engagement; define north star metrics, power calculations, holdout structures, and promotion gates for every major lever.
Support scalable, self-service analytics by building curated datasets for PVa product, ops, sales, and science covering supply, yield, CX, and advertiser diversification outcomes.
Partner with product stakeholders and science peers to identify strategic, data-driven opportunities to improve the customer experience and advertiser results.
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
Experience with statistical models e.g. multinomial logistic regression
Experience with statistical methods (e.g., A/B Testing, Regression)
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 159,200.00 - 215,300.00 USD annually
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually
USA, WA, SEATTLE - 159,200.00 - 215,300.00 USD annually
  • United States

Sprachkenntnisse

  • English
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