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Evening Amazon Data Science Jobs in Virginia (NOW HIRING)

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Manager, Data Science & Services

Chantilly, VA · On-site

$120 - $180/hr

Develop and maintain data solutions that support reporting, business intelligence, data science ... Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or ...

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight. * Experience ...

New

Delaware Nation Industries

Data Engineer

Dahlgren, VA

$116K - $140K/yr

At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight. * Experience ...

New

Delaware Nation Industries

Data Engineer

Dahlgren, VA · On-site

$116K - $140K/yr

At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight. * Experience ...

New

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

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 ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA

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 ...

RDR, Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

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 ...

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All JobsEvening Amazon Data Science JobsEvening Amazon Data Science Jobs in Virginia

Evening Amazon Data Science information

What is an evening Amazon data science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What are the key skills and qualifications needed to thrive as an evening Amazon data science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

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

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

Does Amazon have an evening shift?

Amazon offers evening shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically start in the late afternoon or evening and may require flexibility in working hours. Availability of evening shifts can vary by location and department.

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 cities in Virginia are hiring for Evening Amazon Data Science jobs?

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

Evening Amazon Data Science jobs near you

Manager III, Data Science - AMZ9890706

Arlington, VA • On-site

Amazon
IT Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 7,120 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Good employer

Recommended by students

Paid breaks

Learn more about Amazonexternal

$181K - $236K/yr

Full-time

Posted 5 days ago

Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Manager III, Data Science
Job Location: Arlington, Virginia
Job Number: AMZ9890706
Position Responsibilities:
Manage a team of data and applied scientists delivering production machine learning (ML) and experimentation pipelines. Research, develop, and deploy production ML models. Support, monitor, and improve production ML models. Perform analysis on business performance and make recommendations to improve products. Set team research roadmap and prioritization on a routine basis. Propose analytics approaches to solve new business problems.
Position Requirements:
PhD or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a master's degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and seven years of experience in the job offered or a related occupation as equivalent to a PhD and five years of experience. Must have five years of experience in the following skill(s): (1) programming in Python or R. Must have one year of experience in the following skill(s): managing scientists or machine learning engineers.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $181,638/year to $236,900/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
BASIC QUALIFICATIONS
Position Requirements:
PhD or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and five years of experience in the job offered or a related occupation. Employer will accept a master's degree or foreign equivalent degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related field and seven years of experience in the job offered or a related occupation as equivalent to a PhD and five years of experience. Must have five years of experience in the following skill(s): (1) programming in Python or R. Must have one year of experience in the following skill(s): managing scientists or machine learning engineers.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
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.
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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

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Pay

Benefits

Hours and flexibility

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