Data Scientist II, AWS Managed Operations Intelligence (MOI) Data Science
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazon Web Services (AWS) is the world leader in providing a highly reliable scalable low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world!
Passionate about building owning and operating massively scalable systems Want to make a billion-dollar impact If so we have an exciting opportunity for you.
The AWS Managed Operations (MO) organization was founded in April 2023 with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.
The AWS Managed Operations Intelligence (MOI) Team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the this role you will be responsible for the end-to-end data science lifecycle from data exploration ETL model development and data visualization. You will leverage a diverse set of tools and technologies including general analytical frameworks (Spark Airflow etc.) AI frameworks (Hugging Face etc.) and various machine learning frameworks to tackle complex business problems.
Your analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform AWS Operations and Site Reliability Engineering teams. You will work on ambiguous and complex business and research science problems at scale. You are and comfortable working with cross-functional teams and systems.
This role will sit in our new headquarters in Northern Virginia where Amazon will invest $2.5 billion dollars occupy 4 million square feet of energy efficient office space and create at least 25000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates public transportation improvements and new access to Reagan National Airport.
By working together on behalf of our customers we are building the future one innovative product service and idea at a time. Are you ready to embrace the challenge Come build the future with us.
This position requires that the candidate selected be a U.S. citizen.
10012
Key job responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical approaches
- Develop ML/AI models. Partner with software teams to productionalize these models.
- Data Pipeline and Infrastructure: design and implementation of data pipelines
- Metric Development and Monitoring: Define and develop advanced customized metrics and key performance indicators (KPIs) that capture the nuances of the organizations strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics
A day in the life
Why AWS
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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.
About 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.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global 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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored 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 & 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.
About the team
The Managed Operations Intelligence (MOI) Team helps AWS operate its services across the world. We help monitor AWS operations by providing insights and recommendations on AWS operations.
This position requires that the candidate selected be a U.S. citizen.
- 3 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
- Knowledge of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
- Bachelors degree in computer science mathematics statistics machine learning or equivalent quantitative field or Masters degree and 4 years of data scientist experience
- 6 years of data scientist experience
- 4 years of machine learning statistical modeling data mining and analytics techniques experience
- Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- 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.
Passionate about building owning and operating massively scalable systems Want to make a billion-dollar impact If so we have an exciting opportunity for you.
The AWS Managed Operations (MO) organization was founded in April 2023 with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.
The AWS Managed Operations Intelligence (MOI) Team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the this role you will be responsible for the end-to-end data science lifecycle from data exploration ETL model development and data visualization. You will leverage a diverse set of tools and technologies including general analytical frameworks (Spark Airflow etc.) AI frameworks (Hugging Face etc.) and various machine learning frameworks to tackle complex business problems.
Your analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform AWS Operations and Site Reliability Engineering teams. You will work on ambiguous and complex business and research science problems at scale. You are and comfortable working with cross-functional teams and systems.
This role will sit in our new headquarters in Northern Virginia where Amazon will invest $2.5 billion dollars occupy 4 million square feet of energy efficient office space and create at least 25000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates public transportation improvements and new access to Reagan National Airport.
By working together on behalf of our customers we are building the future one innovative product service and idea at a time. Are you ready to embrace the challenge Come build the future with us.
This position requires that the candidate selected be a U.S. citizen.
10012
Key job responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical approaches
- Develop ML/AI models. Partner with software teams to productionalize these models.
- Data Pipeline and Infrastructure: design and implementation of data pipelines
- Metric Development and Monitoring: Define and develop advanced customized metrics and key performance indicators (KPIs) that capture the nuances of the organizations strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics
A day in the life
Why AWS
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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.
About 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.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global 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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored 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 & 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.
About the team
The Managed Operations Intelligence (MOI) Team helps AWS operate its services across the world. We help monitor AWS operations by providing insights and recommendations on AWS operations.
This position requires that the candidate selected be a U.S. citizen.
- 3 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
- Knowledge of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
- Bachelors degree in computer science mathematics statistics machine learning or equivalent quantitative field or Masters degree and 4 years of data scientist experience
- 6 years of data scientist experience
- 4 years of machine learning statistical modeling data mining and analytics techniques experience
- Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- 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 VA Arlington - 136000.00 - 184000.00 USD annually
Required Experience:
IC
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