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Entry Level Amazon Data Science Jobs (NOW HIRING)

Wise Skulls

Data Scientist AI Contact Center

Experience implementing and configuring Amazon Connect * Strong background in Data Science / AI / Machine Learning * Hands-on experience building AI Agents / Conversational AI * Experience with NLP ...

Inizio Partners Corp

Data Scientist

Dallas, TX · On-site

About the Job The Data Science team partners with marketing, analytics, and digital optimization ... The position operates within a modern analytics environment leveraging Amazon Redshift, AWS ...

Amazon

Data Scientist II - AMZ27022.1

San Diego, CA · On-site

$136K - $184K/yr

Amazon Web Services, Inc. Position: Data Scientist II - AMZ27022.1 Location: San Diego, CA Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

... Amazon's financial forecasting through TrendCast, an innovative, automated, science-based top-down ... We are seeking a strong Data Scientist II to drive the technical strategy for these advanced ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

... Amazon's financial forecasting through TrendCast, an innovative, automated, science-based top-down ... We are seeking a strong Data Scientist II to drive the technical strategy for these advanced ...

Tech Consulting

Be Seen First

Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

Amazon

Sr. Data Scientist, Prime Video

Seattle, WA · On-site

... Amazon MGM Studios-produced series and movies; licensed fan favorites; and exclusive access to ... You'll be part of an embedded science team on projects that are fast-paced, challenging, and ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

Amazon

Sr. Data Scientist, Prime Video

Seattle, WA · On-site

... Amazon MGM Studios-produced series and movies; licensed fan favorites; and exclusive access to ... You'll be part of an embedded science team on projects that are fast-paced, challenging, and ...

RDR, Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

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Entry Level Amazon Data Science information

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 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 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 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.

More about Entry Level Amazon Data Science jobs
What cities are hiring for Entry Level Amazon Data Science jobs? Cities with the most Entry Level Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Entry Level Amazon Data Science jobs? States with the most job openings for Entry Level Amazon Data Science jobs include:
What job categories do people searching Entry Level Amazon Data Science jobs look for? 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 May 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 5% Full Time, 78% Part Time, 1% Temporary, and 11% Contract. Highlights an 93% Physical, and 7% Remote job distribution.
Data Scientist AI Contact Center

Data Scientist AI Contact Center

Wise Skulls

Remote

Contractor

Posted 11 days ago

Job description

Title: Data Scientist AI Contact Center
Location: Remote
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
  • Experience implementing and configuring Amazon Connect
  • Strong background in Data Science / AI / Machine Learning
  • Hands-on experience building AI Agents / Conversational AI
  • Experience with NLP (Natural Language Processing)
  • Strong knowledge of AWS Cloud Services
  • Experience with Amazon Lex and AI chatbot integrations
  • Ability to build intelligent workflows for AI Contact Centers
  • Experience with Python for AI/ML development
  • Knowledge of LLMs / Generative AI
  • Experience integrating AI solutions with customer support or contact center platforms
  • Understanding of customer interaction analytics and automation

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