1

Manager Data Scientist Jobs in Nebraska (NOW HIRING)

The Data Scientist may be responsible for any of the following tasks: Analyzing data that is ... Data Management tools, such as Docker, Jenkins and Spark. • Adept at generating reports and ...

Manage expectations and communicate progress, challenges, and outcomes effectively. Tooling & Best Practices: * Stay updated with the latest industry trends and technologies in data science and ...

Manage expectations and communicate progress, challenges, and outcomes effectively. Tooling & Best Practices: * Stay updated with the latest industry trends and technologies in data science and ...

Manage expectations and communicate progress, challenges, and outcomes effectively. Tooling & Best Practices: * Stay updated with the latest industry trends and technologies in data science and ...

Manage expectations and communicate progress, challenges, and outcomes effectively. Tooling & Best Practices: * Stay updated with the latest industry trends and technologies in data science and ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... Manage the hardware, network, security, and software infrastructure essential for analytical ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... Manage the hardware, network, security, and software infrastructure essential for analytical ...

You will collaborate closely with product managers, full-stack developers, platform engineers, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

You will collaborate closely with product managers, full-stack developers, platform engineers, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ... Change management to integrate tech transfer digital applications into product teams * Development ...

Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver ...

Collaborate with product managers, engineers, product marketers, and designers * Utilize AI tools ... and data science; or a Master's degree in a technical field + 2+ years of post-graduate ...

Collaborate with product managers, engineers, product marketers, and designers * Utilize AI tools ... and data science; or a Master's degree in a technical field + 2+ years of post-graduate ...

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies ...

Collaborate with product managers, engineers, product marketers, and designers * Think creatively ... data-scientific contributions * Conduct machine learning or statistical analyses, and build ...

Collaborate with product managers, engineers, product marketers, and designers * Think creatively ... data-scientific contributions * Conduct machine learning or statistical analyses, and build ...

next page

Showing results 1-20

Manager Data Scientist information

See Nebraska salary details

$43.9K

$157.3K

$232.2K

How much do manager data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for manager data scientist in Nebraska is $157,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $162,100.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

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

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

What cities in Nebraska are hiring for Manager Data Scientist jobs?

Cities in Nebraska with the most Manager Data Scientist job openings:

Infographic showing various Manager Data Scientist job openings in Nebraska as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $157,336 per year, or $75.6 per hour.

Data Scientist

Lincoln, NE • On-site


Sandhills Global, Inc.
Software Development • 1 - 5K employees

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

8th of 19 rated publishing

Good employer

Respectful managers

Good training


Full-time

Re-posted 11 days ago


Job description

Data Scientist
Lincoln, Nebraska, USA
DESCRIPTION:
The Data Scientist may be responsible for any of the following tasks: Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies, Visualize insights for business actions and collaborate with Software Developers to implement into our products and services. The Data Scientist would need to be able to apply the data analysis, models, and software to the markets our products are in for us to better serve our customers. The Data Scientist must have good communication and organization skills, along with a working knowledge of day-to-day operations and priorities within their department and the company. Assume other duties as assigned.
Now offering a 4.5-day workweek!
QUALIFICATIONS:
• Completed Post Secondary Degree in Data Science, Mathematics or Statistics preferred or any other quantitative discipline
• Strong proficiencies in Python or R, and various libraries/packages
• Ability to gain knowledge of the products and customers of the Auction and Heavy Equipment industries
• Technical understanding regarding data models, database design and development, data mining and segmentation techniques
• General understanding of Machine Learning and AI tools and frameworks
• Knowledge of statistics and experience using statistical packages for analyzing large datasets
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with SQL, stored procedures, or APIs preferred
• Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins and Spark.
• Adept at generating reports and presenting findings in an understandable manner
• Excellent oral and written communication skills
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Ability to travel by air and ground -- valid driver's license required
• Able to work with minimal supervision
• In Office Position. 4.5 day regular work week. Ability to commute daily to local office is required.


What Sandhills Global employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom