Applied Scientist, Amazon
Seattle, Washington, USA
Full Time Senior-level / Expert USD 129K - 212K
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...
We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.
As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Have publications at top-tier peer-reviewed conferences or journals
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 $129,400/year in our lowest geographic market up to $212,800/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, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code- Have publications at top-tier peer-reviewed conferences or journals
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 $129,400/year in our lowest geographic market up to $212,800/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:
2
0
0
Category:
Data Science Jobs
Tags: A/B testing Data warehouse Deep Learning Java Machine Learning Oracle Python RDBMS Reinforcement Learning SQL Testing
Perks/benefits: Career development Conferences Equity / stock options
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 jobsStaff Data Scientist jobsPrincipal Data Engineer jobsBI Developer jobsData Scientist II jobsData Manager jobsJunior Data Analyst jobsData Science Manager jobsResearch Scientist jobsBusiness Data Analyst jobsLead Data Analyst jobsData Science Intern jobsSr. Data Scientist jobsSenior Data Scientist, Performance Marketing jobsSenior AI Engineer jobsData Engineer III jobsSoftware Engineer, Machine Learning jobsBI Analyst jobsJunior Data Engineer jobsSr Data Engineer jobsJunior Data Scientist jobsSenior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America jobsData Specialist jobsData Analyst Intern jobsData Analyst II jobs
Linux jobsSnowflake jobsEconomics jobsHadoop jobsPhysics jobsOpen Source jobsJavaScript jobsComputer Vision jobsAirflow jobsRDBMS jobsKafka jobsMLOps jobsNoSQL jobsScala jobsData Warehousing jobsBanking jobsGoogle Cloud jobsData warehouse jobsKPIs jobsGitHub jobsOracle jobsClassification jobsR&D jobsPostgreSQL jobsScikit-learn jobs
Terraform jobsSAS jobsCX jobsScrum jobsStreaming jobsDistributed Systems jobsLooker jobsData Mining jobsPandas jobsJenkins jobsRobotics jobsBigQuery jobsIndustrial jobsJira jobsPySpark jobsReact jobsRedshift jobsMicroservices jobsdbt jobsMatlab jobsUnstructured data jobsE-commerce jobsMySQL jobsData strategy jobsGPU jobs