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Statistical Data Scientist Jobs in Nebraska (NOW HIRING)

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 ...

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ... Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing ...

Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of ... statistical techniques to solve complex business problems across multiple domains Lead Analytics ...

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-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of ... statistical models that quantify business impact and guide resource allocation decisions ...

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Statistical Data Scientist information

See Nebraska salary details

$43.9K

$157.3K

$232.2K

How much do statistical data scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for statistical 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.

How does a Statistical Data Scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

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

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a Statistical Data Scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Nebraska? For Statistical Data Scientist jobs in Nebraska, the most frequently searched job titles are:
Data Scientist

Full-time

Posted 6 days ago


Sandhills Global rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 19 rated publishing


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.

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