Applied Scientist II, Automated Inventory Management
Bellevue, Washington, 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’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.
The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization.
As an Applied Scientist on the AIM team, you will design quantitative systems, prediction models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.
Key job responsibilities
Implement statistical and machine learning methods to solve complex business problems
Research new ways to improve predictive and explanatory models
Directly contribute to the design and development of automated prediction systems and ML infrastructure
Build models that can detect supply chain defects and explain variance to the optimal state
Collaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this team
- 2+ years of building models for business application experience
- PhD, or Master's degree and 1+ 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.
The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization.
As an Applied Scientist on the AIM team, you will design quantitative systems, prediction models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.
Key job responsibilities
Implement statistical and machine learning methods to solve complex business problems
Research new ways to improve predictive and explanatory models
Directly contribute to the design and development of automated prediction systems and ML infrastructure
Build models that can detect supply chain defects and explain variance to the optimal state
Collaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this team
Basic Qualifications
- 2+ years of building models for business application experience
- PhD, or Master's degree and 1+ 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
Category:
Data Science Jobs
Tags: Big Data Business Intelligence Data Mining Java Linux Machine Learning ML infrastructure PhD Python Research Statistics
Perks/benefits: Career development 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.
Principal Data Scientist jobsStaff Data Scientist jobsPrincipal Data Engineer jobsData Manager jobsContent writer - Freelance AI Tutor jobsWriter - Freelance AI Tutor jobsJunior Data Analyst jobsData Scientist II jobsData Science Manager jobsResearch Scientist jobsBusiness Data Analyst jobsSr. Data Scientist jobsSenior Machine Learning Researcher jobsSr Data Engineer jobsLead Data Analyst jobsSoftware Engineer, Machine Learning jobsBI Analyst jobsData Science Intern jobsJunior Data Engineer jobsSenior AI Engineer jobsAzure Data Engineer jobsCopywriter - Freelance AI Tutor jobsData Analyst II jobsData Engineer III jobsJunior Data Scientist jobs
Linux jobsEconomics jobsSnowflake jobsHadoop jobsOpen Source jobsPhysics jobsRDBMS jobsComputer Vision jobsJavaScript jobsBanking jobsMLOps jobsData Warehousing jobsScala jobsKafka jobsNoSQL jobsAirflow jobsGoogle Cloud jobsSAS jobsData warehouse jobsOracle jobsClassification jobsPostgreSQL jobsKPIs jobsR&D jobsGitHub jobs
Streaming jobsScikit-learn jobsData Mining jobsScrum jobsTerraform jobsLooker jobsCX jobsPandas jobsPySpark jobsJira jobsDistributed Systems jobsIndustrial jobsRobotics jobsReact jobsRedshift jobsJenkins jobsMySQL jobsMicroservices jobsBigQuery jobsdbt jobsMatlab jobsUnstructured data jobsE-commerce jobsData strategy jobsGPT jobs