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Applied Scientist, Prime Video - Marketing Science
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$157k–$213k/yr
Full-time
postgraduate degree
Health Insurance, Medical Insurance, Dental Insurance, Vision Insurance, Prescription Insurance, Basic Life & AD&D Insurance
Posted 35d ago
~40 hrs/week
Responsibilities
Build sequential decision-making frameworks and predictive models to optimize marketing resource allocation and forecast efficiency. Collaborate with business and finance leaders to translate strategic questions into statistical problems and communicate results to stakeholders.
Requirements
Requires a Master's degree or higher in a quantitative field and proficiency in Java, C++, or Python. Candidates must have experience building machine learning models or algorithms for business applications.
Full job 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 add-on subscriptions such as Apple TV+, Max, 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 technologist, 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!
Key job responsibilities - Build sequential decision-making frameworks (e.g., MDPs, multi-armed bandits, dynamic programming) to optimize marketing resource allocation over time under uncertainty. - Create predictive models to forecast marketing efficiency and aid strategic budget allocation across channels, campaigns, and markets. - Design and analyze geo-level and regional hold-out experiments to validate model predictions and establish ground truth. - Automate and scale our modeling infrastructure to improve efficiency and expand coverage across use cases and geographies. - Collaborate with leaders across business and finance teams to translate business questions into well-posed statistical and optimization problems. - Quantify uncertainty in model outputs and communicate results, limitations, and recommendations clearly to non-technical stakeholders.
About the team The Marketing Science team drives decision-making on Global Prime Video marketing efforts by delivering sophisticated marketing measurement and optimization models. As an Applied Scientist on the team, you will build optimization and forecasting systems that leverage marketing effectiveness insights to deliver actionable investment recommendations. This includes sequential decision-making frameworks that adapt marketing strategy over time as customer behavior evolves. You will work closely with business and finance stakeholders, as well as other members of our science team, to shape and deliver a roadmap of models. Your frameworks will inform critical decisions for the business.
Basic Qualifications:
- Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields - Experience programming in Java, C++, Python or related language - Experience building machine learning models or developing algorithms for business application
Preferred Qualifications:
- Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals - PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
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, NY, New York - 157,300.00 - 212,800.00 USD annually
How much do Data & Analytics jobs in Culver City, CA pay?
Based on 88 listings with disclosed salaries, most data & analytics jobs in Culver City, CA pay between $81k–$191k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Culver City, CA right now?
There are currently 115 open data & analytics positions in Culver City, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Culver City, CA?
Companies currently hiring include Amazon, Apple, Sony Pictures Entertainment, Henkel, Jam City, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Culver City, CA?
Yes — 29 of the 115 open data & analytics positions offer remote or hybrid work (4 remote, 25 hybrid).
How do I apply for Data & Analytics jobs in Culver City, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.