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Amazon Data Science Jobs in Arkansas (NOW HIRING)

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

$40/hr

Provide analysis and trending of security log data from a large number of various security devices ... Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE) * Working knowledge of ...

Showing results 41-60

Amazon Data Science information

See Arkansas salary details

$38K

$136.5K

$201.4K

How much do amazon data science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for amazon data science in Arkansas is $136,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $140,600.00 per year, depending on experience, location, and employer.

What is an Amazon data science?

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.

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.

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.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What cities in Arkansas are hiring for Amazon Data Science jobs?

Cities in Arkansas with the most Amazon Data Science job openings:

Infographic showing various Amazon Data Science job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $136,454 per year, or $65.6 per hour.

Spring & Summer 2027 Intern - Security & GRC

Little Rock, AR • On-site

Workiva
Software Development • 1 - 5K employees

$40/hr

Other

Retirement

Posted 13 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

The Security Intern is an integral part of the Information Security team at Workiva. You will help solve security issues, develop tools to assist with security threats, and assist with vulnerability testing of web applications. This role may involve making recommendations on security controls and collaborating with internal stakeholders.

What You'll Do

  • Provide Incident Response support when an actionable incident is confirmed
  • Document, investigate, and report on information security issues and emerging trends
  • Manage and configure tools and devices to expand our security monitoring infrastructure
  • Develop tools to assist with security and compliance tasks
  • Assist with continual vulnerability testing of web applications to identify weaknesses
  • Research and identify potential security controls to fix active vulnerabilities
  • Collaborate with other teams to create remediation strategies and timelines for vulnerabilities
  • Develop queries and visualizations to assist with security and compliance tasks
  • Help solve security issues identified in the production application
  • Provide analysis and trending of security log data from a large number of various security devices
  • Collaborate with other teams to gather information regarding security problems, issues, and ideas

What You'll Need

Minimum Qualifications

  • Currently enrolled in a degree-seeking program, preferably in Computer Engineering, Computer Science, Management Information Systems, or a similar degree

Preferred Qualifications

  • Strong ethical and discretionary ability to handle sensitive information and data
  • Strong communication and networking skills (written, verbal, listening)
  • Basic competency in one or more programming languages (Python, Java, SQL, Go, and/or Dart)
  • Familiarity with vulnerability scanning tools and/or penetration testing techniques
  • Familiarity with Amazon Web Services (AWS) and/or Google App Engine (GAE)
  • Working knowledge of Linux/Unix operating systems
  • If Security Engineering focused: Ability to analyze problems and devise creative solutions within business constraints; good understanding of HTTP and common web application vulnerabilities
  • If Security Operations focused: Self-motivation and initiative skills to search for and resolve security issues; initiative and social skills to network with technical individuals to gather information on projects

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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