Data Scientist, AWS Support Capacity Planning
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Do you have proven analytical capabilities to identify business opportunities develop predictive models and optimization algorithms to help us build state of the art Support organization
At Amazon we are working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the worlds most comprehensive and broadly adopted cloud platform offering over 200 fully featured services from data centers globally. Amazon Web Services Inc. provides services for broad range of applications including compute storage databases networking analytics machine learning and artificial intelligence (AI) Internet of Things (IoT) security and application development deployment and management.
AWS Supports Capacity Planning team is looking for a strong talented Data Scientist to model contact and volume forecasting discovering insights and identifying opportunities through the use of statistics machine learning and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize this role you will partner with data engineering tooling team operations training workforce management and finance teams driving optimization and prediction solutions across the network influencing the long-term strategy of the business.
We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects forecasting solutions identify data requirements build methodology and tools that are statistically grounded. You are an expert in the areas of data science forecasting optimization machine learning and statistics and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed innovative independent results-oriented and enjoys working in a fast-paced growing organization. An interest in operations process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team there is opportunity to own globally impactful work and grow your career in technical programmatic or people leadership. You will likely to work in Python or R building forecasting predictive and optimization models. Your problem solving ability knowledge of data models and ability to drive results through ambiguity are more important to us.
About the team
About Us
Diverse Experiences
AWS 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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 in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible hybrid work model near one of our US Amazon offices.
- 2 years of data scientist experience
- 3 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazon we are working to be the most customer-centric company on earth. To get there we need exceptionally talented bright and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the worlds most comprehensive and broadly adopted cloud platform offering over 200 fully featured services from data centers globally. Amazon Web Services Inc. provides services for broad range of applications including compute storage databases networking analytics machine learning and artificial intelligence (AI) Internet of Things (IoT) security and application development deployment and management.
AWS Supports Capacity Planning team is looking for a strong talented Data Scientist to model contact and volume forecasting discovering insights and identifying opportunities through the use of statistics machine learning and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize this role you will partner with data engineering tooling team operations training workforce management and finance teams driving optimization and prediction solutions across the network influencing the long-term strategy of the business.
We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects forecasting solutions identify data requirements build methodology and tools that are statistically grounded. You are an expert in the areas of data science forecasting optimization machine learning and statistics and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed innovative independent results-oriented and enjoys working in a fast-paced growing organization. An interest in operations process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team there is opportunity to own globally impactful work and grow your career in technical programmatic or people leadership. You will likely to work in Python or R building forecasting predictive and optimization models. Your problem solving ability knowledge of data models and ability to drive results through ambiguity are more important to us.
About the team
About Us
Diverse Experiences
AWS 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.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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 in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible hybrid work model near one of our US Amazon offices.
- 2 years of data scientist experience
- 3 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TX Dallas - 136000.00 - 184000.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually
Required Experience:
IC
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