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Amazon Data Science Jobs in Florida (NOW HIRING)

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions * Provide technical support for Amazon ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

... data scientists to create the models and analytics that produce insight. The Data Engineer shall ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL

$73K - $175K/yr

... as data scientists to create the models and analytics that produce insight. The Senior Data ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

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How much do amazon data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for amazon data science in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 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 Florida? The most popular types of Amazon Data Science jobs in Florida are:
What cities in Florida are hiring for Amazon Data Science jobs? Cities in Florida with the most Amazon Data Science job openings:
Amazon Data Science jobs near you
Infographic showing various Amazon Data Science job openings in Florida as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.
Data Eng Sr

Data Eng Sr

BAE Systems

Fort Walton Beach, FL • On-site

$79K - $134K/yr

Full-time

Posted 22 days ago

BAE Systems rating

8.5

Company rating: 8.5 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

5th of 46 rated military and defense

Job description


We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
  • Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
  • Build and maintain data warehouses, including data modeling, data governance, and data quality
  • Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
  • Optimize data systems for performance, scalability, and reliability
  • Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
  • Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
  • Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
  • Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
  • Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Work with data scientists to develop and deploy data-driven products and features
  • Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
  • Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

Required Skills and Education
  • Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology, or equivalent experience.
  • Proficiency in one or more programming languages (e.g., Python, Java, Scala)
  • 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
  • 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
  • 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
  • Strong understanding of database design principles, data modeling, and data governance
  • Proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience with data warehousing concepts, including star and snowflake schemas
  • Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
  • Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)
  • Experience with data processing frameworks such as Apache Kafka, Fivetran
  • Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark
  • Understanding of data quality and governance principles and best practices
  • Experience with AWS services and best practices
Soft Skills:
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong attention to detail and ability to maintain high-quality documentation
  • Commitment to continuous learning and professional development

Preferred Skills and Education
  • Experience with Dataiku
  • Experience with building reports using PowerBI and Tableau
  • Familiarity with agile development methodologies and version control systems such as Git
  • Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
  • Experience with agile development methodologies such as Scrum or Kanban

About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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