Data Scientist II AWS Managed Operations Data Science MODS

Amazon Web Services (AWS) is the world leader in providing a highly reliable scalable lowcost 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 billiondollar 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 longterm engineering projects. MO is building the bestinclass engineering and operations team that will own the daytoday operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.

The AWS Managed Operations Data Science (MODS) 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 datadriven transformation across the organization. In this role you will be responsible for the endtoend data science lifecycle from data exploration and feature engineering and ETL to model development. You will leverage a diverse set of tools and technologies including SQL Python Spark Hugging Face and various machine learning frameworks to tackle complex business problems and uncover valuable insights.

Your product 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 crossfunctional teams and systems.

This position requires that the candidate selected be a U.S. citizen.

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Key job responsibilities
Collaboration & Cross Functional Relationships: Interact with business and software teams to understand their business requirements and operational processes
Data Exploration and Analysis: Conduct indepth exploratory data analysis to understand the structure quality and patterns within complex datasets. Apply statistical and machine learning techniques to extract insights identify trends and uncover hidden relationships in the data.

Business Insights and Recommendations: Frame business problems into scalable solutions; translate complex data insights and model outputs into actionable recommendations that address the organizations strategic objectives.
Data Pipeline and Infrastructure: Contribute to the design and implementation of data pipelines data lakes and other data infrastructure components to support the organizations datadriven initiatives.
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
Prototype models by using highlevel modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.
Documentation & Continuous Improvement: Create enhance and maintain technical documentation


A day in the life
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.

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture

Here at AWS its in our nature to learn and be curious. Our employeeled 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.

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 in the cloud.

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.

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.

About the team
The MODS team is driven by a shared vision of achieving operational excellence through data analytics and machine learning. We provide actionable insights to allow our stakeholders to manage operational posture and operator experience and drive sustainable safe and efficient operations.

We define monitor and predict metrics to provide recommendations on AWS operations that are diagnostic (why something happened) predictive (what will happen) and prescriptive (best course of action) in nature.

We are a customer obsessed team driving lean operations in all of AWS through actionable insights and data strategies that drive process improvement.

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.
Masters Degree in Statistics Applied Math Operations Research Economics or a related quantitative field with 2 years experience in Data Science or related Science discipline OR Bachelors Degree in Statistics Applied Math Operations Research Economics or a related quantitative field with 5 years experience in Data Science or related Science discipline

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 Mapreduce 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.