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Statistical Data Scientist Jobs in Nebraska (NOW HIRING)

ALLO Fiber

Data Scientist

Lincoln, NE

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design ...

ALLO Fiber

Data Scientist

Lincoln, NE · On-site

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design ...

ALLO Communications LLC

Data Scientist

Lincoln, NE · On-site

$110 - $160/hr

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. * Master's degree preferred. * 3+ years of experience in an analytical role, such as a ...

Allo-Communications

Data Scientist

Omaha, NE · On-site

$90 - $140/hr

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design ...

ALLO Fiber

Data Scientist

Kearney, NE

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design ...

ALLO Fiber

Data Scientist

Omaha, NE

The Data Scientist is a highly analytical and business-savvy individual contributor who acts as an ... Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design ...

ALLO Communications

Data Scientist

Lincoln, NE · On-site

$90 - $140/hr

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. * Master's degree preferred. * 3+ years of experience in an analytical role, such as a ...

Leidos

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 ...

Leidos

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 ...

USfalcon, Inc.

Data Scientist, Craftsman

Omaha, NE · On-site

USfalconis seekinga Data Scientist, Craftsman to supportUSSTRATCOMat Offutt AFB,NE. ESSENTIAL ... Design, build, andoptimizeartificial intelligence, machine learning, and statistical modeling ...

USfalcon

Data Scientist, Craftsman

Omaha, NE · On-site

USfalcon is seeking a Data Scientist, Craftsman to support USSTRATCOM at Offutt AFB, NE. ESSENTIAL ... Design, build, and optimize artificial intelligence, machine learning, and statistical modeling ...

Snap, Inc.

Data Scientist, Level 4

Bellevue, NE · On-site

We're looking for a Data Scientist to join Snap Inc. What you'll do ... Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver ...

Warnerbros

Principal Data Scientist

Bellevue, NE · On-site

Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing ...

Agile Defense

Data Scientist

Omaha, NE

The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

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Showing results 21-40

All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Nebraska

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 Sep 7, 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.

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

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.

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 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:

What job categories do people searching Statistical Data Scientist jobs in Nebraska look for?

The top searched job categories for Statistical Data Scientist jobs in Nebraska are:

Statistical Data Scientist jobs near you

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Omaha, NE • On-site

$125K/yr

Full-time

Posted 10 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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