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Data Science Associate Jobs in Nebraska (NOW HIRING)

FMNE Insurance Company

Associate Actuary

Lincoln, NE · On-site

Ensure data quality for analyses by validating input data, troubleshooting discrepancies, and ... Bachelor's degree in actuarial science, mathematics, statistics, or a related field required.

Becton, Dickinson and Company

$14.25 - $19/hr

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Leverage available data to prioritize opportunities with the highest potential ROI and conversion ...

SA Technologies Inc.

Network Associate

Lincoln, NE

... video/data initiatives at the layer 2 level Monitors and reports network system performance to ... Degree in computer science, information technology or related technology field OR 3 year ...

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All JobsData Science Associate JobsData Science Associate Jobs in Nebraska

Data Science Associate information

See Nebraska salary details

$54.8K

$64.9K

$123K

How much do data science associate jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science associate in Nebraska is $64,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $56,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 job categories do people searching Data Science Associate jobs in Nebraska look for? The top searched job categories for Data Science Associate jobs in Nebraska are:
What cities in Nebraska are hiring for Data Science Associate jobs? Cities in Nebraska with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Nebraska as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,872 per year, or $31.2 per hour.
AI Integration Specialist

AI Integration Specialist

University of Nebraska-Lincoln

Lincoln, NE • On-site

$60K/yr

Full-time

Posted 8 days ago

Job description

Position Information
Position Information
Working Title
AI Integration Specialist
Department
College of Business-0897
Requisition Number
S_260351
Posting Open Date
05/11/2026
Application Review Date: (To ensure consideration, please submit all application materials before review date)
05/26/2026
Posting Close Date
Open Until Filled
Yes
Description of Work
The AI Integration Specialist serves as a foundational technical role within the College of Business, supporting the application of artificial intelligence and automation technologies to improve teaching, research, and administrative operations.
This position performs technical and analytical tasks under general supervision and assists with the design, development, and maintenance of AI-enabled applications and automated workflows. The specialist collaborates with faculty and staff to identify opportunities for using technology to streamline processes, increase efficiency, and support innovation across the college.
As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/
Minimum Required Qualifications
  • Associate's degree in computer science, information systems, or a related field and one (1) year of experience in programming, automation, or system integration.
  • Additional years of relevant experience or completed relevant education may substitute for required education/experience on a year-for-year basis.
  • Experience developing or supporting AI-enabled applications or automation workflows.
  • Experience leveraging Robotic Process Automation (RPA) tools and applying AI platforms such as OpenAI (ChatGPT or Codex), Microsoft Copilot, or Power Automate.
  • Strong problem-solving and communication skills.

Preferred Qualifications
  • Bachelor's degree in computer science, data science, or a related field.
  • Experience working within higher education environment or research setting.
  • One year experience working within a ticketing system for managing technical requests.
  • One year experience software versioning and testing.
  • Knowledge of data governance, information security, and ethical AI
    practices.
  • Knowledge of software development life cycle methodologies.

Pre-Placement Driving Record Review Required
No
Physical Required
No
Commercial Driver's License (CDL) required. Subject to DOT approved pre-employment & random testing for alcohol and controlled substances.
No
Criminal History Background Check Required
Yes
Posted Salary
$60,000/year minimum
How to Apply
Click on "Apply for this Job". You will then either create an application or edit your current application that is on file. You will be required to attach your resume, cover letter, and list of references as three (3) separate documents in MS Word or PDF format.
For questions or accommodations related to this position contact
Jeff Sherrill, jeff.sherrill@unl.edu
Job Category (old)
Managerial/Professional
Job Type
Full-Time
Alternate Work Schedule (if other than 8-5)
Work Location (City, State)
Lincoln, NE
Position funded by grant or other form of temporary funding?
No
If Temporary, indicate end date
Planned Hire Date:
May 2026
Appointment End Date

Apply