Senior Applied Scientist

Job summary
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's 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.

Our Media Planning team builds full funnel solutions for advertising agencies and publishers. Our suite of tools include data pipelines, machine learning models, large scale data structures and indexes, advertiser recommendations and data visualizations. We match supply (human eyeballs) and demand (advertisers interests) in thousands of audience targeting dimensions, and recommend optimal prices.

As a Senior 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.
• Recruit Applied Scientists to the team and provide mentorship.

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 Amazon’s 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 https://youtu.be/zD_6Lzw8raE


Key job responsibilities
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 help brands grow on all platforms.
Build Machine Learning services that build over multiple other underlying machine learning systems, by actively collaborating with a 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 into services.
Understand the user story, and scope the best product choices using A/B experiments, metrics, and surveys.
Establish scalable, efficient, automated processes for large-scale data analysis over multiple data pipelines spanning the entirety of the advertising business models, machine-learning model development, model validation and serving.
Research and build simulators that work in tandem with innovative machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.

A day in the life
Impact and Career Growth: You will invent new experiences and influence how businesses grow on Amazon and beyond; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our Media Planning 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.

Video Link: https://www.linkedin.com/posts/trisha-mahajan_meet-trisha-a-technical-program-manager-activity-6909894593551446016-lPYu?utm_source=linkedin_share&utm_medium=member_desktop_web

About the team
Why you will love this opportunity: Amazon is a new initiative to include Media Planning services to our existing world-class advertising business. This team defines and delivers a collection of media planning services that drive discovery and sales. Our solutions in expected to unlock billions in revenue and drive long-term growth for Amazon’s advertising business. Amazon advertising deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated to make a dent in the universe by building a new vertical in Amazon advertising while having fun. The team has a broad mandate to experiment and innovate.

Join the MADS Planning (MADS-P) team. We have a lot exciting new opportunities in Video advertising, Audio Ads, and Media Planning; big career growth opportunities.

Please reach out for details!

Basic Qualifications

• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
• Published research work in academic conferences or industry circles.
• Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
• Technical leadership in machine learning.
• Effective verbal and written communication skills with non-technical and technical audiences.
• Experience working with real-world data sets and building scalable models from big data.
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business, product, and technology very well.
• Experience in computational advertising.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.