Applied Scientist, Prime Video - Marketing Science

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Apple, Budgeting, Campaigns, Customer Experience, Customer/Consumer Behavior, Digital Video, Documentaries, Film, Finance, Forecasting, International Marketing, Marketing, Marketing Strategy, Model Validation, Predictive Modeling, Rentals, Resource Management, Software Engineering, Sports, Technical Delivery, Use Cases, User Experience Design (UXD), Video Production
LOCATION
Seattle, WA
POSTED
7 days ago

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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles