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Amazon Data Science Jobs in Alabama (NOW HIRING)

Amazon

Staff Pharmacist, Amazon Pharmacy

Loxley, AL · On-site

$47 - $55.25/hr

... data review, prescription verification, and virtual patient consultations in compliance with state ... Science in Pharmacy or PharmD Degree - Active and unrestricted pharmacist license in state of ...

Amazon

Overnight Staff Pharmacist, Amazon Pharmacy

Loxley, AL · On-site

$47 - $55.25/hr

... data review, prescription verification, and virtual patient consultations in compliance with state ... Science in Pharmacy or PharmD Degree - Active and unrestricted pharmacist license in state of ...

CSAA

Data Science and Analytics, API, Data Services, and Business Automation. Your Work: * Be involved ... Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security ...

MSCCN

Research Scientist II, S 1-4

Huntsville, AL · On-site

$60K - $75K/yr

... Science NASA scientific data collections. Duties/Responsibilities • Serve as the Task Lead for ... Amazon Web Services (AWS) environments (e.g., S3 storage, EC2, Lambda). • Experience with GIS ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$112K - $135K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related ... Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related ... Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and ...

Chenega MIOS

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related ... Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related ... Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and ...

Chenega Corporation

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Bachelor's degree in science, Technology, Engineering, Mathematics, IT, or business-related ... Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc., and ...

Pwc

Data Engineer - Manager

Birmingham, AL · On-site

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

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All JobsAmazon Data Science JobsAmazon Data Science Jobs in Alabama

Amazon Data Science information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do amazon data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for amazon data science in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

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

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon Data Science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon hire data scientists?

Yes, Amazon hires data scientists to analyze large datasets, develop machine learning models, and support business decision-making. Candidates typically need strong skills in statistics, programming, and tools like Python or R, along with relevant experience or education in data science or related fields.

Can data scientists make $300k?

Data scientists at companies like Amazon can potentially earn $300,000 or more annually, especially with seniority, extensive experience, advanced skills in machine learning, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which can significantly increase total earnings.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at 40 or older. Success in data science depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Many professionals transition into data science later in their careers and find opportunities based on their expertise and problem-solving abilities.

What is an Amazon Data Science job?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

How much does a Data Scientist make at Amazon?

The average salary for a Data Scientist at Amazon is around $120,000 to $150,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with more senior roles earning higher salaries. Skills in machine learning, data analysis, and proficiency with tools like Python and SQL are often required.
What are the most commonly searched types of Amazon Data Science jobs in Alabama? The most popular types of Amazon Data Science jobs in Alabama are:
What job categories do people searching Amazon Data Science jobs in Alabama look for? The top searched job categories for Amazon Data Science jobs in Alabama are:
Amazon Data Science jobs near you
Infographic showing various Amazon Data Science job openings in Alabama as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $149,570 per year, or $71.9 per hour.

Senior Data Scientist with Security Clearance

Anonymous Employer

Huntsville, AL • On-site

$70 - $90/hr

Other

Posted 19 days ago

Job description

Senior Data Scientist
W2 Pay Rate: $70-90/hr depending on experience Position Overview
We are seeking a Senior Data Scientist to support the development of advanced analytics, machine learning, and artificial intelligence solutions in a complex enterprise environment. This role will work across large and diverse datasets to develop predictive models, automate decision-making processes, and deliver actionable insights that support mission and business objectives.
The ideal candidate combines strong software engineering skills with practical experience in machine learning, statistical analysis, and cloud-based data environments. Success in this role requires the ability to rapidly learn new tools and technologies while collaborating with engineering, data, and product teams. Key Responsibilities
• Design, develop, and deploy machine learning and data science solutions to address complex business and operational challenges
• Build and maintain scalable data processing, feature engineering, and model deployment pipelines
• Develop software and analytical solutions using modern programming languages and frameworks
• Conduct exploratory data analysis and statistical modeling to identify trends, anomalies, and opportunities for optimization
• Evaluate, validate, and improve machine learning model performance using appropriate statistical techniques and methodologies
• Collaborate with software engineers, architects, and stakeholders to integrate machine learning capabilities into enterprise applications
• Support the deployment, monitoring, and lifecycle management of machine learning models in cloud environments
• Develop technical documentation, visualizations, and presentations to communicate findings and recommendations
• Contribute to software development best practices, code reviews, and continuous integration/continuous delivery processes
• Research emerging technologies and recommend innovative approaches to improve analytical capabilities
Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline
• Experience developing software solutions using Python, Java, Scala, or similar programming languages
• Strong understanding of object-oriented programming and/or functional programming principles
• Knowledge of machine learning algorithms and techniques
• Experience applying natural language processing (NLP) methodologies
• Strong understanding of statistical analysis and model evaluation techniques
• Experience developing, testing, and maintaining software using Git-based version control systems
• Experience working within CI/CD environments using Git and GitLab
• Experience utilizing Amazon Web Services (AWS) cloud technologies
• Strong problem-solving and analytical skills
• Ability to rapidly learn and adapt to new programming languages, frameworks, and technologies
• Strong communication and collaboration skills Preferred Qualifications
• Hands-on experience with AWS services such as: o EMR
o Bedrock
o Lambda
o EventBridge
• Familiarity with agentic AI architectures and frameworks
• Knowledge of Model Context Protocol (MCP)
• Experience designing and deploying generative AI solutions
• Familiarity with Spring Boot and modern Java application development
• Experience supporting production machine learning workloads in cloud environments
• Knowledge of MLOps concepts and model deployment best practices Desired Technical Skills
• Python
• Java
• Scala
• Machine Learning
• Natural Language Processing (NLP)
• Statistical Modeling
• AWS
• Git
• GitLab CI/CD
• Data Engineering
• Model Evaluation
• Generative AI
• Agentic AI
• MCP
• Spring Boot What Makes a Strong Candidate
• Strong combination of software engineering and data science expertise
• Ability to translate business problems into analytical solutions
• Comfortable working in fast-paced environments with evolving technical requirements
• Passion for continuous learning and emerging AI technologies

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