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Seasonal Amazon Data Science Jobs in Virginia (NOW HIRING)

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

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Showing results 1-20

Seasonal Amazon Data Science information

What is the difference between Seasonal Amazon Data Science vs Amazon Data Analyst?

AspectSeasonal Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in data visualization and SQL
Work EnvironmentProject-based, seasonal roles during peak shopping periods, often remote or on-siteOngoing, full-time or part-time roles within Amazon's analytics teams
Employer & Industry UsageUsed mainly during high-demand seasons to optimize sales and logisticsUsed year-round for reporting, insights, and decision-making

Seasonal Amazon Data Science roles focus on applying advanced analytics and machine learning during peak seasons, while Amazon Data Analysts handle ongoing data reporting and insights. The roles differ mainly in scope, duration, and technical complexity, but both require strong analytical skills and familiarity with Amazon's data tools.

Do seasonal Amazon Data Science employees get hired permanently?

Seasonal Amazon Data Science employees are typically hired for temporary periods to support specific projects or peak seasons. Transition to permanent roles is possible but not guaranteed and depends on performance, business needs, and available openings. Many employees use seasonal roles to gain experience and may apply for full-time positions later.

Does Amazon hire seasonally?

Yes, Amazon hires seasonally, especially during peak shopping periods like the holidays. Seasonal roles often include positions in fulfillment centers, data analysis, and logistics, and they typically last for several months. These roles may require quick onboarding and familiarity with warehouse or data tools.

What are the most commonly searched types of Amazon Data Science jobs in Virginia?

The most popular types of Amazon Data Science jobs in Virginia are:

What are popular job titles related to Seasonal Amazon Data Science jobs in Virginia?

For Seasonal Amazon Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Seasonal Amazon Data Science jobs in Virginia look for?

The top searched job categories for Seasonal Amazon Data Science jobs in Virginia are:

What cities in Virginia are hiring for Seasonal Amazon Data Science jobs?

Cities in Virginia with the most Seasonal Amazon Data Science job openings:

Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science

Amazon

Arlington, VA • On-site

Full-time

Re-posted 14 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

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 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.
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 25,000 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 organization's 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 we're 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, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's 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 infrastructure

In other words, we're 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 we're 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
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll 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, there's nothing we can't 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.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US