Data Scientist, Managed Operations - Managed Operations Intelligence (MOI) Team

Amazon

Arlington (VA)

On-site

USD 136,000 - 184,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Scientist for the MOI team to drive data-driven transformation across AWS. You will own end-to-end data science projects, from exploration to model deployment, using Spark, Airflow, and state-of-the-art ML tools.

You will work with large datasets, develop customized metrics, and partner with software teams to productionalize models in a fast-paced cloud environment. U.S. citizenship is required.

Qualifications

2+ years of data scientist experience.
3+ years of data querying languages (SQL) or scripting languages (Python) experience.
3+ years of ML/statistical modeling experience.
1+ years of guiding and coaching a group of researchers.
1+ years of working with or evaluating AI systems.

Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems.
Develop ML/AI models and partner with software teams to productionalize them.
Design and implement data pipelines and infrastructure.
Define and develop advanced metrics and KPIs for strategic objectives.
Monitor and evaluate the performance of metrics.

Skills

Data Science

SQL

Python

ML modeling

ETL pipelines

Team guidance

AI systems evaluation

Educational content

Education

Master's degree in STEM

PhD (preferred)

Tools

Spark

Airflow

Hugging Face

Job description

Data Scientist, Managed Operations - Managed Operations Intelligence (MOI) Team

Job ID: 10501329 | Amazon Development Center U.S., Inc.

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!

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 execute as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the organization. In 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.

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

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 organization's strategic objectives and operational complexities.
Continuously monitor and evaluate the performance of metrics

About the team

The Managed Operationsorganization reduces operational burden for AWS builders by executing long-term engineering projects. The Data Science team (MOI) harnesses the power of data science to identify operational trends across AWS to enable high-leverage decisions for our development teams to eliminate operational burden.

The MOI team provides high leverage analytics to drive product strategy. We do this with a 'last mile' analytics service that integrates disparate data sources to solve business problems. We apply our knowledge of the semantic meaning of data and the underlying business processes that the data supports, to create advanced analytics solutions.

Basic Qualifications

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
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Preferred Qualifications

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits .

Preferred Qualifications

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually

Important FAQs for current Government employees

Before proceeding, please review the following FAQs

https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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