ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Nebraska (NOW HIRING)

Actalent

Entry Level Recruiter | Sales Trainee

Omaha, NE · On-site

$195K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

HDR

Storage & Data Protection Engineer 1

Omaha, NE

Basic knowledge of public cloud storage concepts. Entry-level VMware or storage-related ... Required Qualifications Bachelor's degree in Information Technology, Computer Science, or related ...

HDR

Storage & Data Protection Engineer 1

Omaha, NE · On-site

Basic knowledge of public cloud storage concepts. Entry-level VMware or storage-related ... Required Qualifications Bachelor's degree in Information Technology, Computer Science, or related ...

HDR

Storage & Data Protection Engineer 1

Omaha, NE · On-site

Basic knowledge of public cloud storage concepts. Entry-level VMware or storage-related ... Required Qualifications Bachelor's degree in Information Technology, Computer Science, or related ...

United States Army

Reserve Entomologist

Lincoln, NE

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Active Entomologist

Lincoln, NE

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Active Entomologist

Omaha, NE

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Reserve Entomologist

Omaha, NE

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Stryker

$94K - $157K/yr

In this entry-level role, you will help ensure our products meet global environmental compliance ... Maintain PEC data in internal systems and reporting tools; identify data gaps, perform data ...

New

Becton, Dickinson and Company

$14.25 - $19/hr

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Role Summary The Associate Service Sales Representative is an entrylevel sales role that supports ...

next page

Showing results 1-20

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Nebraska

Entry Level Data Science information

See Nebraska salary details

$10

$18

$25

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

As of Jul 10, 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.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $37,785 per year, or $18.2 per hour.
Data Analyst - Kiewit Data Services

Data Analyst - Kiewit Data Services

Kiewit Corporation

Papillion, NE • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

22nd of 79 rated construction

Job description

Requisition ID: 180673 

Job Level: Entry Level 

Home District/Group: DHO Kiewit Data Services 

Department: Data Services 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

We are seeking a data-driven product and analytics professional who thrives at the intersection of data, technology, and business operations. This role combines data analysis and project coordination with product management responsibilities - ensuring that our data tools and analytics products are adopted, refined, and continuously improved.

As a Data Analyst, you will:

  • Manage and support major data initiatives and tools within your domain.
  • Partner with technical and business teams to drive adoption and usability.
  • Lead product and project efforts from requirement gathering through rollout and measurement.
  • Proactively seek new ideas and opportunities to advance the domain, staying informed on industry trends and best practices.

You'll partner closely with the Data Strategy Domain Manager to:

  • Drive adoption and continuous improvement of data products.
  • Assess and enhance model inputs, data quality, and performance.
  • Build analytics and metrics to guide both operational decisions and product evolution.
  • Ensure alignment between business needs, technical development, and delivery timelines.

This position is ideal for someone with a strong technical foundation in SQL, Python, Snowflake, and BI platforms, along with an interest in project coordination, stakeholder engagement, and data-driven product strategy. The role also requires a strong drive for self-learning, high attention to detail, and strong organizational skills, as well as an interest in solving complex problems.

District Overview

Kiewit Data Services' (KDS) mission is to make Kiewit the premier data-driven organization in our industry.  To accomplish this, our projects and districts need to have the right quality of data and the right level of analysis available to them at the right time.  KDS is a cross functional organization with employees that have expertise in data, technology, support, and operations backgrounds.  Our core functions are data Quality, Governance, Enablement, Analytics and Data Science.  We are intent on delivering a world class user experience to Kiewit employees and believe in the power of analytics to aid us in this mission.

Location

This position is based out of our Omaha, NE campus. This is a corporate office in a professional office setting. 

Responsibilities

Stakeholder Support & Product Enablement:

  • Serve as the primary point of contact for your domain's data tools and products.
  • Provide structured, consistent support to users and product stakeholders.
  • Translate business needs into technical requirements and clear action plans.
  • Maintain user feedback channels and translate insights into backlog items or improvement stories.

Data Fluency & Technical Support:

  • Understand how tools and models work: key inputs, assumptions, and outputs.
  • Use SQL, Snowflake, or Python to conduct data validation, monitor usage, and investigate user issues.
  • Partner with Data Products and Engineering teams to resolve tool issues or data discrepancies.
  • Contribute to the release testing and validation prior to deployments.

Roadmap & Communication:

  • Maintain adoption and support documentation.
  • Support project scoping, timeline planning, and resource coordination for data products.
  • Help track rollout milestones and identify areas for re-engagement or retraining.
  • Build transparency around progress, risks and upcoming releases.
  • Communicate updates clearly to business stakeholders.

Launch & Adoption Support:

  • Coordinate rollout and hypercare for new or updated tools.
  • Develop user-facing resources such as release notes, how-to guides, and short videos.
  • Organize and deliver training sessions to build user confidence and tool fluency.
Qualifications
  • Bachelor's degree in Data Analytics, Construction Management, Engineering, or related field.
  • Familiarity with construction or engineering processes and tools.
  • Working knowledge of SQL and at least one of: Python, Snowflake, Power BI, or Sigma Computing.
  • Excellent communication skills - able to translate between technical and non-technical audiences.
  • Attention to detail is a must, especially in a fast-paced development environment.
  • Proven ability to support digital tool adoption and explain technical concepts to non-technical users.

Kiewit is an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace.

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. 
We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

What Kiewit Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Kiewit logo

About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

View All Kiewit Jobs

Apply