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Aws Data Scientist Jobs (NOW HIRING)

AWS Data Engineer

Manhattan, NY · On-site

$100K - $132K/yr

You will work closely with business stakeholders, data scientists, analysts, and DevOps teams to ... AWS Glue * Amazon Redshift * Amazon RDS * AWS Lambda * Amazon Kinesis * Strong SQL skills

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Role: AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to ... Work closely with data scientists, analysts, and business stakeholders to understand data needs and ...

Required : • Bachelor's degree in Computer Science, Engineering or related field • 5+ years of experience as a Data Engineer or similar role • Strong proficiency with AWS services (e.g. S3 ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

AWS Data Architect

Atlanta, GA · On-site +1

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... Bachelor's degree in information management, data science, statistics, public health, health ...

AWS Data Architect

Atlanta, GA · Remote

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... Bachelor's degree in information management, data science, statistics, public health, health ...

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

BE / MCA / Any Master degree in Computer Science Primary (Must have skills)* Experience: Minimum of 8 years of experience in data engineering with a focus on AWS data services. Skills: Proficiency in ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

AWS Data Architect Location: Neenah, WI Job type: Contract Position Overview We are seeking a ... Bachelor's or Master's degree in Computer Science, Information Systems, or a related field * 7+ ...

The role involves defining data science operations strategy, architecting scalable ML pipelines, and overseeing AWS Data Lake architectures. Responsibilities : • Lead and manage a team of 6 data ...

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... Familiarity with AWS, data pipelines, and data engineering practices * Hands-on experience with ...

As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ... Familiarity with AWS, data pipelines, and data engineering practices * Hands-on experience with ...

Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization * Work with stakeholders to translate business objectives into data science solutions and ...

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization. * Work with stakeholders to translate business objectives into data science solutions and ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Science, Engineering, or related field 8+ years of experience in data engineering or related roles Strong hands-on experience with AWS services, including: o Amazon S3 o AWS Glue o Amazon Redshift ...

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Science, Engineering, or related field 8+ years of experience in data engineering or related roles Strong hands-on experience with AWS services, including: o Amazon S3 o AWS Glue o Amazon Redshift ...

Showing results 21-40

Aws Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do aws data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for aws data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming an AWS Data Scientist or entering data science in general. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and cloud tools like AWS, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

How much do AWS data scientists make?

AWS data scientists typically earn between $100,000 and $150,000 annually, with senior roles reaching over $180,000. Compensation varies based on experience, location, and certifications in cloud and data science tools like Python, R, and AWS services.

Does Amazon hire data scientists?

Yes, Amazon hires data scientists across various teams to analyze large datasets, develop machine learning models, and improve business operations. Candidates typically need strong skills in statistics, programming, and tools like Python, R, and AWS services, along with relevant experience or advanced degrees. Data scientist roles at Amazon are often based in multiple locations and may require collaboration with cross-functional teams.

What types of projects and collaborations can I expect as an AWS Data Scientist?

As an AWS Data Scientist, you will frequently work on projects involving large-scale data processing, predictive modeling, and developing machine learning pipelines using AWS cloud platforms. Collaboration is key, as you'll interact regularly with data engineers, software developers, business analysts, and sometimes non-technical stakeholders to understand requirements and deliver data-driven solutions. Many roles offer opportunities to lead innovations, contribute to cloud architecture decisions, and upskill in emerging AWS technologies. You'll gain practical experience with real-world datasets and help drive impactful decisions across multiple departments. This collaborative, dynamic environment often presents excellent opportunities for career growth and specialization within both data science and cloud computing realms.

What are the key skills and qualifications needed to thrive in the Aws Data Scientist position, and why are they important?

To thrive as an AWS Data Scientist, you need strong statistical analysis, machine learning expertise, and proficiency in programming languages like Python or R, often with a degree in computer science or a related field. Familiarity with AWS services such as Sagemaker, Redshift, and Athena, as well as certifications like AWS Certified Machine Learning – Specialty, are highly valued. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate data insights into actionable business solutions. These competencies ensure efficient development, deployment, and scaling of data-driven models in cloud-based environments.

Can data scientists make $300k?

Data scientists, including those working with AWS and advanced analytics, can potentially earn $300,000 or more, especially with extensive experience, specialized skills, and leadership roles. High salaries are more common in senior positions, large companies, or in regions with high living costs, and often require expertise in machine learning, cloud platforms, and programming languages like Python or R.

What is an AWS Data Scientist job?

An AWS Data Scientist leverages Amazon Web Services (AWS) cloud tools to analyze large datasets, build machine learning models, and derive insights for business decisions. They work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to clean, process, and visualize data efficiently. Their role involves data engineering, statistical analysis, and deploying scalable machine learning solutions in the cloud. AWS Data Scientists collaborate with engineers and analysts to optimize data workflows and improve predictive analytics.

More about Aws Data Scientist jobs
What cities are hiring for Aws Data Scientist jobs? Cities with the most Aws Data Scientist job openings:
What are the most commonly searched types of Aws Data Scientist jobs? The most popular types of Aws Data Scientist jobs are:
What states have the most Aws Data Scientist jobs? States with the most job openings for Aws Data Scientist jobs include:
Infographic showing various Aws Data Scientist job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist II, AWS Managed Operations Intelligence (MOI) - Data Science

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

Amazon

Arlington, VA

Full-time

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,012 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.


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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US