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Entry Level Amazon Data Science Jobs (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

Data Scientist, Sales AI

New York, NY

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

Amazon

Data Scientist III - AMZ10087624

Sunnyvale, CA · On-site

$183K - $247K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Sunnyvale, California Job Number: AMZ10087624 Position Responsibilities: Own the data science elements of various products ...

Amazon

Data Scientist III - AMZ9976173

Santa Clara, CA · On-site

$183K - $247K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Santa Clara, California Job Number: AMZ9976173 Position Responsibilities: Own the data science elements of various products ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Design and implement end-to-end machine learning ML pipelines using services such as Amazon ... Work with stakeholders to translate business objectives into data science solutions and actionable ...

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Entry Level Amazon Data Science information

What is an entry level Amazon data science job?

An entry level Amazon data science job typically involves analyzing large datasets, building data models, and generating insights to help Amazon improve its products and services. Employees in these roles often work with teams of data scientists, engineers, and business stakeholders to solve real-world business problems. Key responsibilities may include cleaning and organizing data, using statistical and machine learning techniques, and creating visualizations to communicate findings. Entry-level positions usually require a background in statistics, computer science, or a related field, along with proficiency in programming languages like Python or R.

What are some common challenges faced by entry-level data scientists at Amazon, and how can they be addressed?

Entry-level data scientists at Amazon often encounter challenges such as working with large-scale, complex datasets and adapting to the fast-paced, results-driven environment. Navigating Amazon's proprietary tools and understanding the business context behind data projects can also be daunting at first. To overcome these challenges, new hires are encouraged to actively seek guidance from mentors, participate in team knowledge-sharing sessions, and invest time in learning Amazon's data infrastructure and workflows. Collaboration with cross-functional teams is frequent, so developing strong communication skills and a willingness to ask questions can significantly ease the transition and lead to early success.

What are the key skills and qualifications needed to thrive as an entry level Amazon data scientist, and why are they important?

To thrive as an Entry Level Data Scientist at Amazon, you typically need a strong foundation in statistics, data analysis, and programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and languages such as Python, SQL, AWS, and machine learning libraries, along with experience using data visualization platforms, is highly valued. Strong problem-solving abilities, communication skills, and the ability to collaborate across teams set top candidates apart. These skills are essential to extract actionable insights from large datasets, drive data-driven decisions, and contribute effectively to Amazon’s innovative environment.

What is the difference between Entry Level Amazon Data Science vs Entry Level Amazon Data Engineering?

AspectEntry Level Amazon Data ScienceEntry Level Amazon Data Engineering
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python, R skillsBachelor's in Computer Science, Software Engineering, or related; SQL, Python, Spark skills
Work EnvironmentAnalyzing data, building models, predictive analyticsBuilding data pipelines, managing data infrastructure
Employer & Industry UsageUsed across Amazon for insights, recommendations, customer behaviorSupports data infrastructure, ETL processes, data storage

Entry Level Amazon Data Science focuses on analyzing data and creating models to inform business decisions, while Entry Level Amazon Data Engineering involves building and maintaining data pipelines and infrastructure. Both roles require technical skills but differ in their core responsibilities and daily tasks.

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The top searched job categories for Entry Level Amazon Data Science jobs are:

Entry Level Amazon Data Science jobs near you
Infographic showing various Entry Level Amazon Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

data science engineer

OVA.Work

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 25 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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