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Internship Azure Data Scientist Jobs in Nebraska

Data Scientist

Omaha, NE ยท On-site

$104.65 - $189.18/hr

Stay current on emerging data science techniques and tools relevant to OIE. * Provide ... Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg ... Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure ...

Data Analyst

Omaha, NE ยท On-site

Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks ... Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field ...

Data Architect

Omaha, NE

$105K - $143K/yr

Partner with business analysts, data scientists, actuaries, and analytics teams to support data ... Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. * Knowledge of MDM ...

Enterprise Data Architect

Lincoln, NE ยท Hybrid

$130K - $150K/yr

Bachelor's degree in Information Systems, Computer Science, or equivalent experience/combined ... Preferred Experience: * Experience with Microsoft Fabric, Azure Data Services, Databricks ...

Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to ... Azure, or equivalent) * Experience integrating multi-source data (structured, semi-structured ...

Data and Analytics - AI Engineer II

Omaha, NE ยท On-site

$107K - $150K/yr

... Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics teams and ... Azure * Tools: Power Automate, AI Foundry, Power Platform * Data Platforms: Snowflake (preferred ...

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Internship Azure Data Scientist information

What is an internship Azure Data Scientist?

An Internship Azure Data Scientist is an entry-level or student role that involves working with data science tools and techniques on Microsoft Azure's cloud platform. Interns in this position typically assist with data analysis, machine learning model development, and data pipeline creation using Azure services such as Azure Machine Learning, Data Factory, and Databricks. The internship provides hands-on experience with cloud-based data science workflows and helps interns build practical skills for a career in data science. Responsibilities may include cleaning and preparing data, training models, and visualizing results to support business decisions. This role is ideal for students or recent graduates interested in cloud computing and analytics.

What types of projects and responsibilities can I expect as an internship Azure Data Scientist?

As an Azure Data Scientist intern, you'll typically work on data-driven projects such as developing machine learning models, preparing and cleaning datasets, and performing exploratory data analysis using Microsoft Azure tools. You'll likely collaborate closely with data engineers, software developers, and senior data scientists to integrate solutions into cloud environments. Interns often participate in regular team meetings, present findings, and may contribute to optimizing existing data pipelines. This hands-on experience provides a strong foundation for a future career in cloud-based data science roles.

What are the key skills and qualifications needed to thrive as an internship Azure Data Scientist, and why are they important?

To thrive as an Internship Azure Data Scientist, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often supported by coursework or a degree in a STEM field. Familiarity with Microsoft Azure cloud services, data modeling tools, and machine learning frameworks is typically expected, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and convey technical findings clearly. These skills ensure interns can contribute meaningfully to data-driven projects while adapting quickly to the evolving demands of cloud-based analytics environments.

What is the difference between Internship Azure Data Scientist vs Data Analyst Intern?

AspectInternship Azure Data ScientistData Analyst Intern
Required SkillsAzure cloud services, basic data science, programming (Python, R), machine learning fundamentalsData visualization, SQL, Excel, basic statistical analysis
Work EnvironmentTech companies, cloud-focused teams, project-basedBusiness teams, reporting, data cleaning and analysis
CertificationsAzure Fundamentals, basic data science coursesNone typically required, basic Excel/SQL knowledge

Internship Azure Data Scientist roles focus on applying machine learning and cloud-based data science techniques using Azure services, often in tech or cloud-centric environments. Data Analyst Interns primarily handle data cleaning, visualization, and reporting tasks within business contexts. While both roles require foundational data skills, Azure Data Scientist internships emphasize cloud and machine learning expertise, whereas Data Analyst Internships focus on data interpretation and presentation.

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

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

What are popular job titles related to Internship Azure Data Scientist jobs in Nebraska?

For Internship Azure Data Scientist jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Internship Azure Data Scientist jobs?

Cities in Nebraska with the most Internship Azure Data Scientist job openings:

Infographic showing various Internship Azure Data Scientist job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Via Logic LLC

Omaha, NE โ€ข On-site

$104.65 - $189.18/hr

Other

Posted 14 days ago


Job description

Description

Join a team committed to a mission!

At Leidos , we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customersโ€™ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Are you ready for your next career challenge?

Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Civil Affairs Planner to support APOLLO/OPIAS in Qatar. This role will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information

campaigns. This position is on a future contract pending award announcement.

Possible locations for this position are as follows:

ยท MacDill (Tampa, FL)

ยท Al Udeid (Qatar)

ยท Fort Meade (Maryland)

ยท Northcom (Colorado Springs, CO)

ยท Camp Humphreys (Korea)

ยท Arifjan (Kuwait)

ยท Joint Base Pearl Harbor-Hickam (Hawaii)

ยท Fort Eisenhower (Georgia)

ยท Offutt AFB (Omaha, NE)

ยท Naval Operating Base Norfolk (Virginia)

ยท Southcom (Doral, FL)

ยท JB San Antonio (Texas)

ยท Stuttgart (Germany)

ยท Vicenza (Italy)

ยท Tyndall AFB (Florida)

Key Responsibilities:

  • Conduct analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices.

  • Review the methods and means to provide data visualization and quantitative analysis to the team.

  • Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.

  • Support the analytics and assessment team in the construction and modification of research design.

  • Acquire, process, and integrate impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT.

  • Apply advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns.

  • Develop predictive models to support influence operations and behavioral targeting.

  • Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization.

  • Visualize data insights through dashboards and reports for decision-makers.

  • Evaluate the effectiveness of OIE campaigns using data-driven methods.

  • Stay current on emerging data science techniques and tools relevant to OIE.

  • Provide recommendations to senior leadership on data-driven strategies for OIE.

  • Define the means to create data visualizations and quantitative analysis to support mission needs.

  • Review/analyze statistical data received from team members, other agencies, and CCMD organic assets.

  • Review empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater.

  • Provide data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis.

  • Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs), supported through Leidos Checkmate

Basic Qualifications:

  • Bachelorโ€™s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field

  • 8+ years of experience in data science, with a focus on predictive analytics, machine learning, and statistical modeling

  • Experience with data visualization tools (Tableau, Power BI, Matplotlib)

  • Experience with natural language processing (NLP) and text analytics

  • Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).

  • Strong problem-solving and critical-thinking skills

  • Familiarity with data security protocols for classified environments

  • Active TS/SCI security clearance

Preferred Qualifications:

  • Graduate degree (MS, PhD) in Data Science or related fields

  • Experience supporting Joint Intelligence or U.S. Geographic Combatant Commands

  • Experience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl)

  • Experience with geospatial analytic tools (ArcGIS, QGIS)

  • Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson)

  • Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

  • Demonstrated experience with Command and Control of the Information Environment (C2IE)

  • Demonstrated experience briefing senior military leadership (O-5 and above)

  • Expertise in OSINT, including social media monitoring and analysis.

  • Ability to conduct complex data queries and scripting for automation.

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We donโ€™t wear capes (theyโ€™re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for โ€œhow itโ€™s always been done.โ€

Original Posting:

July 30, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

REQNUMBER: R-00163314-OTHLOC-PL-2D2037

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

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