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Entry Level Data Science Jobs in Nebraska (NOW HIRING)

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Cloud Services Administrator 1

Omaha, NE · On-site

... and data services. Monitor cloud resources for availability, configuration drift, tagging ... Azure, AWS, GCP, or OCI. Entry-level cloud certification such as Azure Fundamentals, AWS Cloud ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data science in Nebraska is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.38 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

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

The most popular types of Data Science jobs in Nebraska are:

What are popular job titles related to Entry Level Data Science jobs in Nebraska?

For Entry Level Data Science jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Nebraska look for?

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

What cities in Nebraska are hiring for Entry Level Data Science jobs?

Cities in Nebraska with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $37,785 per year, or $18.2 per hour.

Management Trainee

empirical foods, inc.

South Sioux City, NE • On-site

Full-time

Re-posted 4 days ago

Job description

Overview

Learn the basics of empirical's business processes and procedures to be offered the opportunity of being part of the leadership team within 9-24 months. This position will be immersed in core business processes through participating in roles designed to expose them to strategic learning opportunities that are relevant to long-term roles within the company.

The expectation of this position is to excel in operations processes, safety, quality, customer delivery, problem solving, and effective communication. The position will work with various groups and assignments, gradually increasing their responsibility within the organization, to ensure technical and social skills are advancing toward long-term leadership roles within the company. This is an entry level leadership position.

Responsibilities
  • Become immersed in learning key manufacturing processes and programs. Become proficient in front-line and management operation roles to understand equipment, processes, people, and pace. Engage in activities designed to develop and prepare individuals to act as relief supervisors, support preventative maintenance programs, and participate in start-up teams. Assist in trouble shooting activities.
  • Become proficient in quality assurance roles. Assist Quality Assurance in the development of new products, processes, quality specifications, monitoring of raw materials, and continuous improvement activities. Will learn how to establish and communicate new procedures.
  • Upon a thorough understanding of how processes work, participate with company Leadership to understand how to sustain and enhance production or distribution capacity to support sales volume requirements. This includes active participation in technology development, start up, testing, and operation.
  • Work with the plant Safety to support improvement in safety and regulatory program effectiveness.
  • Develop, improve, and present technical information to educate and improve the effectiveness of employees and best practices. When technically proficient, begin educating and coaching others.
  • Will perform special projects and other responsibilities as needed.
  • Positively influence a culture of technical development and appreciation of critical thinking skills.
  • Ability to perform all essential job functions with or without reasonable accommodation.
  • Perform all other duties as assigned.
Qualifications

Skills and Abilities

  • Strong proficiency in the use of computers.
  • Proficient with Microsoft Office including Word, Excel, and PowerPoint is preferred.

Demonstrated Competencies

  • Effective communication, leadership, and presentation skills.
  • Analytical skills for data monitoring and results analysis.
  • Demonstrate outstanding learning capabilities.
  • Ability to deliver results on challenging assignments.
  • Ability to work independently and as a member of various teams.
  • Work with a sense of urgency in a fast-paced organization and handle multiple projects to meet deadlines.
  • Versatility, flexibility, and a willingness to work within constantly changing priorities.
  • Self-motivated, proactive individual who will constantly seek opportunities for improvement.
  • Inclusive, responsible, professional, and problem solver.
  • Ability to quickly become proficient in software relevant to job focus.
  • General affinity and comfort level to work in an industrial food production environment.
  • Must have regular and punctual attendance.

Physical Requirements

  • Open to relocating to any empirical plant upon completion of the program.
  • Ability to work any shift, including 2nd and 3rd shift, during and after the completion of the program.
  • Must be willing and able to work flexible hours, including weekends.
  • Ability to travel to other locations as needed.
  • This position requires walking, standing, twisting, reaching, bending, climbing, and lifting.
  • Must be able to lift, push, and pull up to 60lbs.

Experience:  Previous internship or co-op with the company is preferred. Student-related organizational leadership roles and/or other leadership experience is preferred.Education:  Completion of a degree relevant to the program prior to the start of the job. Bachelor's degree in Chemical, Industrial, or Mechanical Engineering as well as Food or Animal Science, Agriculture, or other related disciplines.Department:   Operations

Employment Type: FULL_TIME

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