Data Scientist II
Data Scientist II
Posted on :
17-04-2025
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1 Vacancy
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Job Description
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Do you love problem solving Are you looking for real world Supply Chain challenges Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing
Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders Data Engineers Business Intelligence Engineers and Business Analysts to achieve our goals.
We are seeking an innovative and technically strong data scientist with a background in optimization machine learning and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decisionmaking problems with data coming from various data sources. The candidate should have strong communication skills be able to work closely with stakeholders and translate datadriven findings into actionable insights. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and ability to work in a fastpaced and everchanging environment.
Key job responsibilities
1. Demonstrate thorough technical knowledge on feature engineering of massive datasets effective exploratory data analysis and model building using industry standard time Series Forecasting techniques like ARIMA ARIMAX Holt Winter and formulate ensemble model.
2. Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering Principle Component Analysis Market Basket analysis).
3. Experience in solving optimization problems like inventory and network optimization . Should have hands on experience in Linear Programming.
4. Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area
5. Detailoriented and must have an aptitude for solving unstructured problems. You should work in a selfdirected environment own tasks and drive them to completion.
6. Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
7. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
5 years of data scientist experience
4 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Functional knowledge of AWS platforms such as S3 Glue Athena Sagemaker Lambda EC2 Batch Step Function.
Experience in creating powerful data driven visualizations to describe your ML modeling results to stakeholders
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Do you love problem solving Are you looking for real world Supply Chain challenges Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing
Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders Data Engineers Business Intelligence Engineers and Business Analysts to achieve our goals.
We are seeking an innovative and technically strong data scientist with a background in optimization machine learning and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decisionmaking problems with data coming from various data sources. The candidate should have strong communication skills be able to work closely with stakeholders and translate datadriven findings into actionable insights. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and ability to work in a fastpaced and everchanging environment.
Key job responsibilities
1. Demonstrate thorough technical knowledge on feature engineering of massive datasets effective exploratory data analysis and model building using industry standard time Series Forecasting techniques like ARIMA ARIMAX Holt Winter and formulate ensemble model.
2. Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering Principle Component Analysis Market Basket analysis).
3. Experience in solving optimization problems like inventory and network optimization . Should have hands on experience in Linear Programming.
4. Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area
5. Detailoriented and must have an aptitude for solving unstructured problems. You should work in a selfdirected environment own tasks and drive them to completion.
6. Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
7. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
5 years of data scientist experience
4 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Functional knowledge of AWS platforms such as S3 Glue Athena Sagemaker Lambda EC2 Batch Step Function.
Experience in creating powerful data driven visualizations to describe your ML modeling results to stakeholders
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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