Amazon
Senior Applied Scientist, Sponsored Products Bidding Join to apply for the
Senior Applied Scientist, Sponsored Products Bidding
role at
Amazon Senior Applied Scientist, Sponsored Products Bidding 4 days ago Be among the first 25 applicants Join to apply for the
Senior Applied Scientist, Sponsored Products Bidding
role at
Amazon Description
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's 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
Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's 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!
Within Sponsored Products, the Bidding team is responsible for defining and delivering a collection of advertising products around bid controls (dynamic bidding, bid recommendations, etc.) 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
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 fundamentally 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.
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: A2987873Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionResearch, Science, and Engineering IndustriesSoftware Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Applied Scientist” roles.Preclinical Principal Scientist, Research & Development Brooklyn, NY $140,000.00-$240,000.00 5 days ago Applied ML Scientist, Cheminformatics (Staff / Principal) New York, NY $120,000.00-$210,000.00 4 months ago Research Scientist - Central Applied Science New York, NY $213,000.00-$293,000.00 4 days ago Newark, NJ $85,513.00-$107,786.00 4 months ago New York City Metropolitan Area 1 month ago New York, NY $150,000.00-$230,000.00 2 weeks ago Associate Research Scientist - Drug Development Englewood, NJ $60,000.00-$100,000.00 1 week ago ML Research Scientist, Foundation Models (Senior / Staff / Principal) New York, NY $190,000.00-$320,000.00 1 week ago New York, NY $160,000.00-$220,000.00 3 weeks ago New York, NY $160,000.00-$250,000.00 3 weeks ago Senior, Research & Development Scientist Newark, NJ $129,400.00-$212,800.00 3 days ago New York, NY $70,000.00-$85,000.00 3 days ago AI Research Scientist - Evaluation, Handshake AI New York, NY $166,000.00-$244,000.00 4 days ago New York, NY $177,000.00-$251,000.00 2 weeks ago New York, NY $189,000.00-$235,500.00 1 week ago Want to work with us, but don't see the right job listed?Research Scientist, Bureau of Environmental Sciences and Engineering Queens, NY $10,000.00-$72,190.00 1 month ago New York City Metropolitan Area 1 week ago Machine Learning Research Scientist, Generative Biology New York, NY $120,000.00-$250,000.00 1 month ago Research Scientist, Bureau of Tuberculosis Control We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Senior Applied Scientist, Sponsored Products Bidding
role at
Amazon Senior Applied Scientist, Sponsored Products Bidding 4 days ago Be among the first 25 applicants Join to apply for the
Senior Applied Scientist, Sponsored Products Bidding
role at
Amazon Description
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's 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
Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's 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!
Within Sponsored Products, the Bidding team is responsible for defining and delivering a collection of advertising products around bid controls (dynamic bidding, bid recommendations, etc.) 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
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 fundamentally 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.
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: A2987873Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionResearch, Science, and Engineering IndustriesSoftware Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Applied Scientist” roles.Preclinical Principal Scientist, Research & Development Brooklyn, NY $140,000.00-$240,000.00 5 days ago Applied ML Scientist, Cheminformatics (Staff / Principal) New York, NY $120,000.00-$210,000.00 4 months ago Research Scientist - Central Applied Science New York, NY $213,000.00-$293,000.00 4 days ago Newark, NJ $85,513.00-$107,786.00 4 months ago New York City Metropolitan Area 1 month ago New York, NY $150,000.00-$230,000.00 2 weeks ago Associate Research Scientist - Drug Development Englewood, NJ $60,000.00-$100,000.00 1 week ago ML Research Scientist, Foundation Models (Senior / Staff / Principal) New York, NY $190,000.00-$320,000.00 1 week ago New York, NY $160,000.00-$220,000.00 3 weeks ago New York, NY $160,000.00-$250,000.00 3 weeks ago Senior, Research & Development Scientist Newark, NJ $129,400.00-$212,800.00 3 days ago New York, NY $70,000.00-$85,000.00 3 days ago AI Research Scientist - Evaluation, Handshake AI New York, NY $166,000.00-$244,000.00 4 days ago New York, NY $177,000.00-$251,000.00 2 weeks ago New York, NY $189,000.00-$235,500.00 1 week ago Want to work with us, but don't see the right job listed?Research Scientist, Bureau of Environmental Sciences and Engineering Queens, NY $10,000.00-$72,190.00 1 month ago New York City Metropolitan Area 1 week ago Machine Learning Research Scientist, Generative Biology New York, NY $120,000.00-$250,000.00 1 month ago Research Scientist, Bureau of Tuberculosis Control We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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