Applied Scientist, Amazon Advertising Job at Amazon in Seattle

Join to apply for the Applied Scientist, Amazon Advertising role at Amazon

2 days ago Be among the first 25 applicants

Join to apply for the Applied Scientist, Amazon Advertising role at Amazon

Description

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. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Description

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. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As An Applied Scientist On This Team, You Will

• Be a strong contributor to Machine Learning; lending effort 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 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

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's 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
  
  

Preferred Qualifications

• 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 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A3026625

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

Referrals increase your chances of interviewing at Amazon by 2x

Get notified about new Applied Scientist jobs in Seattle, WA.

Redmond, WA $100,600.00-$215,400.00 1 week ago

Redmond, WA $147,000.00-$208,000.00 1 day ago

Greater Seattle Area $51,312.00-$58,200.00 1 day ago

Greater Seattle Area $50.00-$50.00 15 hours ago

Seattle, WA $100,000.00-$200,000.00 3 months ago

Seattle, WA $113,000.00-$195,200.00 2 weeks ago

Seattle, WA $136,000.00-$212,800.00 1 week ago

Bellevue, WA $163,360.00-$245,040.00 1 week ago

Seattle, WA $48,000.00-$75,000.00 3 days ago

Seattle, WA $143,000.00-$312,800.00 2 weeks ago

data scientist, Staffing- Data & Analytics (Seattle)

Seattle, WA $110,600.00-$166,000.00 1 week ago

Research Scientist, Robotics Research - New College Grad 2025

Seattle, WA $160,000.00-$258,750.00 6 days ago

Principal Scientist, Pharmaceutical Research & Development

Bothell, WA $102,900.00-$171,500.00 2 days ago

Seattle, WA $72,000.00-$80,000.00 1 week ago

Greater Seattle Area $102,000.00-$117,600.00 18 hours ago

Bellevue, WA $190,000.00-$320,000.00 2 weeks ago

RESEARCH SCIENTIST/ENGINEER 1 (Project/Temporary)

Redmond, WA $80,000.00-$180,000.00 38 minutes ago

Applied Scientist, Autonomous Systems and Control Simulation

Bothell, WA $111,407.00-$145,861.00 1 month ago

Seattle, WA $175,000.00-$200,000.00 2 weeks ago

Seattle, WA $201,000.00-$277,000.00 14 hours ago

Seattle, WA $136,000.00-$212,800.00 1 week ago

Seattle, WA $136,000.00-$223,400.00 1 day ago

Research Scientist - Computational Chemist

Redmond, WA $147,000.00-$208,000.00 1 week ago

Seattle, WA $140,000.00-$220,000.00 4 months ago

Bellevue, WA $130,000.00-$200,000.00 3 weeks ago

Seattle, WA $158,200.00-$185,000.00 1 month ago

Redmond, WA $100,000.00-$115,000.00 1 day ago

Seattle, WA $143,000.00-$312,800.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr