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Amazon Data Scientist Jobs (NOW HIRING)

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... Design and implement end-to-end machine learning ML pipelines using services such as Amazon ...

Data Scientist Job Location: REMOTE Pay: $85/hr on W2 Duration: 12 months Long-term role with ... Deep hands-on experience with advanced analytics on platforms on or similar to Amazon Ads, Amazon ...

Data Scientist III - AMZ9442729

Seattle, WA ยท On-site

$163K - $215K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Seattle, Washington Job Number: AMZ9442729 Position Responsibilities: Own the data science elements of various products to ...

Data Engineer, Amazon Ads

New York, NY ยท On-site

$125K - $150K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

At Amazon, security is central to maintaining customer trust and delivering delightful customer ... data scientist role with a large technology company - Experience in defining and creating ...

Data Scientist III - AMZ9803634

San Diego, CA ยท On-site

$159K - $215K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: San Diego, California Job Number: AMZ9803634 Position Responsibilities: Own the data science elements of various products to ...

At Amazon, security is central to maintaining customer trust and delivering delightful customer ... data scientist role with a large technology company - Experience in defining and creating ...

About the Job The Data Science team partners with marketing, analytics, and digital optimization ... The position operates within a modern analytics environment leveraging Amazon Redshift, AWS ...

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Amazon Data Scientist information

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$46K

$165K

$243.5K

How much do amazon data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for amazon data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly sought after, and the role often offers competitive salaries and opportunities for career growth.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist, including at 30. Success in data science depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities in the field.

How does an Amazon Data Scientist typically collaborate with cross-functional teams to deliver impactful solutions?

Amazon Data Scientists regularly work alongside software engineers, product managers, and business analysts to develop data-driven solutions for complex business problems. Collaboration often involves translating business objectives into analytical projects, sharing insights through clear visualizations, and iterating on models based on team feedback. This cross-functional teamwork ensures that data science solutions are both technically robust and aligned with business priorities, fostering innovation and measurable impact. Effective communication and adaptability are key to thriving in this collaborative environment.

How much do Amazon data scientists make?

Amazon data scientists typically earn a salary ranging from $100,000 to $160,000 annually, with experienced professionals and those in senior roles earning higher compensation. Total compensation often includes bonuses, stock options, and benefits, reflecting industry standards for tech companies.

What is the difference between Amazon Data Scientist vs Data Analyst?

AspectAmazon Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentCollaborates with engineering, product teams; focuses on predictive modeling and advanced analyticsPrepares reports, interprets data trends; often works with business teams
Employer & Industry UsagePrimarily in tech, e-commerce, logistics; Amazon-specific tools and platforms

Amazon Data Scientists focus on developing predictive models and machine learning solutions, requiring advanced technical skills and experience. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Data Scientists engage in more complex modeling, whereas Data Analysts focus on interpreting and presenting data insights.

What are the key skills and qualifications needed to thrive as an Amazon Data Scientist, and why are they important?

To thrive as an Amazon Data Scientist, you need a solid background in statistics, machine learning, programming (typically Python or R), and a degree in a quantitative field such as computer science or mathematics. Experience with big data tools like AWS, SQL, and data visualization platforms, as well as familiarity with cloud-based analytics, is highly valued. Strong problem-solving, business acumen, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These capabilities are critical for developing impactful data-driven solutions that drive business decisions and innovation at scale.

What does a data scientist do at Amazon?

A data scientist at Amazon analyzes large datasets to identify trends, develop predictive models, and support decision-making processes. They use tools like Python, R, and SQL, and often collaborate with engineering and product teams to improve services and customer experience.

What does an Amazon Data Scientist do?

An Amazon Data Scientist analyzes large volumes of data to uncover trends, build predictive models, and help the company make data-driven decisions. They collaborate with business teams to identify problems, design experiments, and implement machine learning solutions that improve processes or enhance customer experiences. Their work often involves using programming languages like Python or R, and leveraging tools such as AWS, to handle data at scale. By providing actionable insights, Amazon Data Scientists play a key role in driving innovation and efficiency across the organization.
More about Amazon Data Scientist jobs
What cities are hiring for Amazon Data Scientist jobs? Cities with the most Amazon Data Scientist job openings:
What states have the most Amazon Data Scientist jobs? States with the most job openings for Amazon Data Scientist jobs include:
Infographic showing various Amazon Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Ztek Consulting INC

Charlotte, NC โ€ข On-site

Contractor

Posted 25 days ago


Job description

Role Name: Data Scientist

Location: Charlotte, NC / hybrid

Type of hire: Contract

JOB DESCRIPTION:

Key Responsibilities

  • Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modeling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • 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 actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWSKey Responsibilities
  • Design and implement end to end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modeling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • 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 actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWS