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Seasonal Amazon Data 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 ...

HR Tech Job

Data Scientist - AI Platform

Atlanta, GA · On-site

$130 - $219.40/hr

... and Data Science Knowledge/Skills * - Substantial experience in one or more of the following commercial/open-source ML framework/tools: Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O ...

Workday

Data Scientist - AI Platform

Atlanta, GA

Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow. - Substantial expertise in ... science, data science, operations research, statistics, applied mathematics, or a related ...

OVA.Work

Senior data engineer

Alpharetta, GA · On-site

$100K - $136K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers ... Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ...

Amazon

Sr. Program Manager, Amazon Relay

Atlanta, GA · On-site

$111K - $112K/yr

At Amazon, our vision is to become the most customer-centric company on earth. Achieving this goal ... You will work directly with partners across product management, engineering, data science, and ...

Staffingine LLC

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation. * Collaborate with data scientists, analysts, and business stakeholders to deliver reliable ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... with data scientists, software engineers, and product teams • Optimize model accuracy ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

Amazon

Business Analyst III - AMZ27093.1

Atlanta, GA · On-site

$118K - $160K/yr

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to ... Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of ...

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Seasonal Amazon Data Science information

What is the difference between Seasonal Amazon Data Science vs Amazon Data Analyst?

AspectSeasonal Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in data visualization and SQL
Work EnvironmentProject-based, seasonal roles during peak shopping periods, often remote or on-siteOngoing, full-time or part-time roles within Amazon's analytics teams
Employer & Industry UsageUsed mainly during high-demand seasons to optimize sales and logisticsUsed year-round for reporting, insights, and decision-making

Seasonal Amazon Data Science roles focus on applying advanced analytics and machine learning during peak seasons, while Amazon Data Analysts handle ongoing data reporting and insights. The roles differ mainly in scope, duration, and technical complexity, but both require strong analytical skills and familiarity with Amazon's data tools.

Do seasonal Amazon Data Science employees get hired permanently?

Seasonal Amazon Data Science employees are typically hired for temporary periods to support specific projects or peak seasons. Transition to permanent roles is possible but not guaranteed and depends on performance, business needs, and available openings. Many employees use seasonal roles to gain experience and may apply for full-time positions later.

Does Amazon hire seasonally?

Yes, Amazon hires seasonally, especially during peak shopping periods like the holidays. Seasonal roles often include positions in fulfillment centers, data analysis, and logistics, and they typically last for several months. These roles may require quick onboarding and familiarity with warehouse or data tools.

What are the most commonly searched types of Amazon Data Science jobs in Georgia?

The most popular types of Amazon Data Science jobs in Georgia are:

What are popular job titles related to Seasonal Amazon Data Science jobs in Georgia?

For Seasonal Amazon Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Seasonal Amazon Data Science jobs in Georgia look for?

The top searched job categories for Seasonal Amazon Data Science jobs in Georgia are:

What cities in Georgia are hiring for Seasonal Amazon Data Science jobs?

Cities in Georgia with the most Seasonal Amazon Data Science job openings:

Seasonal Amazon Data Science jobs near you
Infographic showing various Seasonal Amazon Data Science job openings in Georgia as of June 2026, with employment types broken down into 23% As Needed, 50% Full Time, 4% Part Time, 19% Contract, and 4% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

data science engineer

OVA.Work

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 29 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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