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Amazon Science Jobs in Georgia (NOW HIRING)

OVA.Work

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ... Science, Information Technology, Data Science, or related field Preferred : • 2+ years of ...

Amazon

Sr. Account Manager, HHS

Atlanta, GA · On-site

... science, and data analytics for a public health enterprise. This position requires that the ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...

Amazon

Sr. Account Manager, HHS

Atlanta, GA

... establish Amazon Web Services as the leader in the industry. Public health is in the midst of ... science, and data analytics for a public health enterprise. This position requires that the ...

Amazon

Sr. Account Manager, HHS

Atlanta, GA

... establish Amazon Web Services as the leader in the industry. Public health is in the midst of ... science, and data analytics for a public health enterprise. This position requires that the ...

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All JobsAmazon Science JobsAmazon Science Jobs in Georgia

Amazon Science information

See Georgia salary details

$20.7K

$40.9K

$66.7K

How much do amazon science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon science in Georgia is $40,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $43,900.00 per year, depending on experience, location, and employer.

What is Amazon Science?

Amazon Science refers to the team of researchers, scientists, and engineers at Amazon who focus on advancing the state of the art in fields like machine learning, artificial intelligence, data science, computer vision, and natural language processing. These professionals work on projects that power Amazon’s products and services, such as Alexa, recommendation systems, robotics, and logistics optimization. The goal of Amazon Science is to solve complex technical challenges and create innovative solutions that improve customer experiences and drive the company’s growth.

What is the difference between Amazon Science vs Data Scientist?

AspectAmazon ScienceData Scientist
Required CredentialsAdvanced degrees in CS, AI, ML, or related fieldsDegree in CS, Statistics, or related fields; often requires experience in data analysis
Work EnvironmentResearch-focused, innovative projects, collaboration with engineers and researchersData analysis, modeling, reporting, cross-functional teams
Employer & Industry UsageAmazon's R&D division, focusing on AI, ML, and scientific researchTech companies, e-commerce, finance, healthcare, using data to inform decisions

Amazon Science primarily involves research and development in AI and machine learning, often requiring advanced degrees and a focus on scientific innovation. Data Scientists analyze data to generate insights, build models, and support business decisions. While both roles work with data and AI, Amazon Science emphasizes research and scientific breakthroughs, whereas Data Scientists focus on applying data analysis to solve practical problems.

What are the key skills and qualifications needed to thrive as an Amazon Scientist?

To thrive as an Amazon Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant advanced degree such as a Ph.D. in computer science, statistics, or related fields. Experience with technical tools like Python, R, SQL, and cloud computing platforms, along with familiarity in big data technologies, is highly valued. Strong problem-solving abilities, collaboration, and the capacity to communicate complex findings to both technical and non-technical stakeholders are important soft skills. These skills ensure the scientist can develop innovative solutions that drive business impact, support data-driven decision-making, and foster effective teamwork.

How does an Amazon Science team member typically collaborate with engineers and product managers on projects?

Amazon Science team members, such as data scientists and research scientists, work closely with engineers and product managers throughout the lifecycle of a project. They often begin by defining the problem with input from product managers, then develop and validate models or algorithms in collaboration with engineers to ensure technical feasibility and scalability. Regular meetings and cross-functional reviews are common, enabling seamless communication and alignment on objectives. This collaborative structure fosters innovation and ensures that scientific solutions are effectively integrated into Amazon’s products and services.
What are popular job titles related to Amazon Science jobs in Georgia? For Amazon Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Amazon Science jobs in Georgia look for? The top searched job categories for Amazon Science jobs in Georgia are:
Amazon Science jobs near you
Infographic showing various Amazon Science job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $40,860 per year, or $19.6 per hour.

data science engineer

OVA.Work

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
OVA.Work is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will collaborate with data analysts, data scientists, and software engineers to ensure reliable data flow, storage, and accessibility for business insights and analytics.
Responsibilities:
• Develop, maintain, and optimize ETL/ELT pipelines
• Build scalable data architectures and data warehouses
• Integrate data from multiple sources (APIs, databases, cloud platforms)
• Ensure data quality, integrity, and security
• Monitor and troubleshoot data pipeline performance
• Collaborate with analytics and business teams for reporting needs
• Implement data governance and best practices
• Automate workflows and improve data processing efficiency
• Support real-time and batch data processing systems
Qualifications:
Required:
• Strong knowledge of SQL and database systems
• Experience with Python, Scala, or Java
• Hands-on experience with ETL tools and frameworks
• Knowledge of cloud platforms such as: Amazon Web Services, Google Cloud, Microsoft
• Experience with big data technologies: Apache Spark, Hadoop, Kafka
• Familiarity with data warehousing concepts
• Understanding of CI/CD and DevOps practices
• Problem-solving mindset
• Strong communication skills
• Team collaboration
• Analytical thinking
• Attention to detail
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
Preferred:
• 2+ years of experience in data engineering or related roles
• Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt
• Exposure to machine learning pipelines is an advantage
• Relevant certifications are a plus
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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