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Aws Data Scientist Jobs (NOW HIRING)

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

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

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

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

AWS Data Engineer

$117K - $140K/yr

Requirements • Bachelor's or master's degree in computer science, Data Engineering, or a related field. • Minimum of 5 years of professional experience as a Data Engineer, with a focus on AWS ...

AWS Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Collaborate with cross-functional teams including Data Scientists, Architects, and DevOps. * Implement monitoring and alerting for data workflows. * Continuously optimize cost and performance of AWS ...

AWS Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Collaborate with cross-functional teams including Data Scientists, Architects, and DevOps. * Implement monitoring and alerting for data workflows. * Continuously optimize cost and performance of AWS ...

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions. Oversee migration of data from legacy systems to AWS-based ...

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Required Skills and Qualifications: • AWS Services:

AWS DATA ENGINEER

Mountain View, CA · On-site

$134K - $161K/yr

AWS Data Engineer Location : Mountain View CA (100% onsite) Developing data pipelines in Python ... data scientists, and data infrastructure Work with external enterprise support engineers from ...

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Aws Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do aws data scientist jobs pay per year?

As of Jul 4, 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 June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
AWS Data Scientist

$80K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 hours ago


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Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Malvern, PA (Onsite/Hybrid)
Job Description

We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.

Required Skills & Qualifications
  • Minimum 8+ years of experience in Data Science, AI, or Machine Learning
  • Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
  • Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
  • Strong foundation in statistics, predictive modeling, and ML algorithms
  • Proficiency in SQL and experience with data visualization techniques
  • Excellent communication and stakeholder management skills
Key Responsibilities
  • Design, develop, and deploy AI/ML models and data science solutions on AWS
  • Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
  • Perform advanced data analysis, feature engineering, model training, and optimization using Python
  • Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
  • Implement MLOps practices for model deployment, monitoring, retraining, and version control
  • Translate complex business problems into AI/ML-driven solutions
  • Ensure adherence to data security, governance, and compliance standards
Preferred Qualifications
  • AWS Certifications (Machine Learning - Specialty or Solutions Architect)
  • Experience with big data technologies such as Spark
  • Exposure to real-time or streaming data pipelines
  • Background in financial services or regulated industries

The base compensation range for this role in the posted location is: $80786 - 90892

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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