Applied Scientist, Sponsored Products, Amazon Ads
New York, New York, USA
Full Time Mid-level / Intermediate USD 136K - 222K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Amazon continues to invest heavily in building our world class advertising business. Our products are strategically important to our Retail and Marketplace businesses, driving long term growth. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and strong bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Products OSSR team is responsible for all non-search supply and associated experiences.
As an Applied Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful strategic initiatives, creating lasting value for Amazon and our advertising customers.
Key job responsibilities
• Support business, science and engineering strategy and roadmap for Sponsored Products OSSR projects
• Drive alignment across organizations for science, engineering and product strategy to achieve business goals
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
• Develop state of the art experimental approaches and ML models.
About the team
Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers.
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
As an Applied Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful strategic initiatives, creating lasting value for Amazon and our advertising customers.
Key job responsibilities
• Support business, science and engineering strategy and roadmap for Sponsored Products OSSR projects
• Drive alignment across organizations for science, engineering and product strategy to achieve business goals
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
• Develop state of the art experimental approaches and ML models.
About the team
Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux- Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
Job stats:
0
0
0
Categories:
Data Science Jobs
Product Jobs
Tags: Data Mining Engineering Java Linux Machine Learning ML models PhD Python
Perks/benefits: Career development Equity / stock options Startup environment
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Engineer II jobsBI Developer jobsData Scientist II jobsStaff Data Scientist jobsPrincipal Data Engineer jobsData Manager jobsJunior Data Analyst jobsData Science Manager jobsResearch Scientist jobsLead Data Analyst jobsBusiness Data Analyst jobsSenior AI Engineer jobsData Engineer III jobsSr. Data Scientist jobsData Science Intern jobsData Specialist jobsJunior Data Engineer jobsSoftware Engineer, Machine Learning jobsSenior Data Scientist, Performance Marketing jobsSoftware Engineer II jobsData Analyst Intern jobsBI Analyst jobsData Analyst II jobsSr Data Engineer jobsSenior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America jobs
Snowflake jobsEconomics jobsLinux jobsHadoop jobsOpen Source jobsJavaScript jobsPhysics jobsMLOps jobsComputer Vision jobsAirflow jobsKafka jobsRDBMS jobsBanking jobsNoSQL jobsGoogle Cloud jobsData Warehousing jobsScala jobsR&D jobsKPIs jobsData warehouse jobsGitHub jobsOracle jobsClassification jobsPostgreSQL jobsSAS jobs
CX jobsStreaming jobsLooker jobsScikit-learn jobsScrum jobsTerraform jobsPandas jobsPySpark jobsDistributed Systems jobsBigQuery jobsData Mining jobsRobotics jobsJira jobsIndustrial jobsJenkins jobsRedshift jobsdbt jobsReact jobsUnstructured data jobsMicroservices jobsData strategy jobsE-commerce jobsMySQL jobsMatlab jobsNumPy jobs