Senior Applied Scientist, Ad Forecasting
Senior Applied Scientist, Ad Forecasting
Posted on :
03-08-2025
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1 Vacancy
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Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses. Amazons advertising portfolio helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The ADSP Forecasting teams vision is to build the best in class forecasting products offered by any DSP to allow advertisers to forecast campaign outcomes across the full market funnel. Our goal is to empower advertisers using Amazon demand side platform to make informed decisions by providing predictions and recommendations of supply and ad-performance. Our forecasting models and analytical solutions will also help internal teams (sales PSC supply desk etc) to gain insights into forecasted supply demand and ad performance to make the best business decisions. The team comprises scientists and engineers who own end-to-end projects - data collection analysis ideation and prototyping to development metrics and monitoring. The models and services are integrated directly with Amazons Ads eco system and the forecasts are used to drive key business decisions at the VP/SVP level. We are a team of Applied Scientists and Engineers who are passionate about solving technical problems in the Ad Forecasting space with models using Machine Learning Bayesian Statistics etc.
You will join a group of highly talented PhDs with diverse background to design prototype and implement models to deliver impact directly to customers. You will have the opportunity to present your work in science communities and to leadership
As a Applied Scientist on this team you will:
- Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity scale complexity.
- Build machine learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments gather data and perform statistical analysis.
- Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
- Research new and innovative machine learning approaches.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The ADSP Forecasting teams vision is to build the best in class forecasting products offered by any DSP to allow advertisers to forecast campaign outcomes across the full market funnel. Our goal is to empower advertisers using Amazon demand side platform to make informed decisions by providing predictions and recommendations of supply and ad-performance. Our forecasting models and analytical solutions will also help internal teams (sales PSC supply desk etc) to gain insights into forecasted supply demand and ad performance to make the best business decisions. The team comprises scientists and engineers who own end-to-end projects - data collection analysis ideation and prototyping to development metrics and monitoring. The models and services are integrated directly with Amazons Ads eco system and the forecasts are used to drive key business decisions at the VP/SVP level. We are a team of Applied Scientists and Engineers who are passionate about solving technical problems in the Ad Forecasting space with models using Machine Learning Bayesian Statistics etc.
You will join a group of highly talented PhDs with diverse background to design prototype and implement models to deliver impact directly to customers. You will have the opportunity to present your work in science communities and to leadership
As a Applied Scientist on this team you will:
- Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity scale complexity.
- Build machine learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments gather data and perform statistical analysis.
- Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
- Research new and innovative machine learning approaches.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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