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Data Science Entry Jobs in Arkansas (NOW HIRING)

Develops and maintains/provides input, for all business system master data. * Provides ... A Bachelor of Science degree in Industrial or Mechanical Engineering or related field and ...

New

The Nurse Scientist advances nursing research and evidence-based practice (EBP) across Wellstar ... Verbal and written communication skills High Computer/data entry experience (including Excel and ...

University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS ... Computer data entry experience. * Advanced level of computer program proficiency. Preferred ...

CNC Operator I - Entry-US

Rogers, AR · On-site

$17.25 - $23.50/hr

... science, tooling and wear-resistant solutions. Customers across aerospace and defense, earthworks ... Problem Solving • Run orders by due date. • Follow Press Data Sheet and Inspection Standards ...

CNC Operator I - Entry-US

Rogers, AR

$17.25 - $23.50/hr

... science, tooling and wear-resistant solutions. Customers across aerospace and defense, earthworks ... Problem Solving · Run orders by due date. · Follow Press Data Sheet and Inspection Standards. · ...

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Data Science Entry information

See Arkansas salary details

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How much do data science entry jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data science entry in Arkansas is $16.10, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.08 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
Infographic showing various Data Science Entry job openings in Arkansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $33,493 per year, or $16.1 per hour.

Industrial Engineer, Entry

Virco MFG. Corpoation

Conway, AR • On-site

Other

Re-posted 23 days ago


Job description

Safety Statement:

This is not a safety sensitive position.

 

Job Purpose:

Supports all customer order generation and fulfillment groups, including Marketing, Customer Service, Operations, Purchasing, and Distribution, by providing the information, tools, and processes required to effectively operate the business.  Provides support to manufacturing in attaining all divisional goals for manufacturing. 

Essential Functions:

  • Conducts time and Motion analysis as input for all business system labor standards. 
  • Conducts analysis for business system material usage standards, and material specifications.
  • Determines, develops, and maintains product process routings as input for business system product routings. 
  • Develops and maintains/provides input, for all business system master data. 
  • Provides manufacturing facilities layouts to provide for efficient flow of materials. 
  • Develops product cost estimates for product development groups and Customer Service. 
  • Develops, communicates, and effects Engineering Change Requests/Authorizations, including update of drawings, and other product related documents that improve cost, quality, and delivery.
  • Identifies, develops, and effects work environment improvements. 
  • Initiates and effects improvements in methods, materials, and processes to support manufacturing cost improvement goals. 
  • Provides support to Marketing and New Product Development to allow timely introduction of new products to manufacturing.
  • Uses quality management tools and methodologies to identify product quality standards and opportunities for improvements in product quality. 
  • Qualifies, monitors, and analyzes vendor manufacturing and delivery processes and performance to fulfill business objectives and goals. 
  • Provide information to accounting for verification of production costs. 
  • Must be flexible to perform other duties as assigned and required.

 

Required Qualifications:

  • Knowledgeable in the basics of product packaging. 
  • Must have an extensive understanding of and the functional capability to develop and maintain business system master data.
  • Must be proficient with a moderate level in Computer Aided Design/Drafting (e.g., AutoCAD) 
  • Must be proficient in Microsoft Word and Excel.
  • Must be able to work in a standard office environment. 
  • Must have good communication skills, both written and verbal.  
  • Must be able to work with minimal supervision, be very detail orientated and possess strong organizational skills
  • Must have knowledge and proficient use of applicable office-related equipment.
  • Must have excellent team skills, be flexible, and be able to meet and maintain performance standards. 
  • Must display the applicable level of “Job-Critical Skills”: communications, judgment/decision making, safety, quality of work, initiative, teamwork, flexibility, leadership, service, motivation, planning/organizing, and job knowledge/skills development. 

 

Preferred Qualifications:

  • A Bachelor of Science degree in Industrial or Mechanical Engineering or related field and experience in Industrial Engineering functions including time and motion analysis and cellular manufacturing. 
  • Some experience in welding, metal fabrication, finishing, “engineered wood” working, assembly, and packaging.
  • A working knowledge of outlook.

Physical Requirements:

Will require the ability to sit at desk, as needed up to 75% or more of the work hours and the ability to lift as needed up to 25 lbs. on an occasional basis.  Must be able to adjust to applicable environmental conditions, to include changes in temperature.  May occasionally be exposed to chemicals, heat, cold, dust, and/or other operational conditions.  Must wear applicable hearing protection while in the production/distribution floor environment.  

This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.