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Data Science R Jobs in Omaha, NE (NOW HIRING)

Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of ... R with experience in data analysis libraries and platforms like Databricks for large-scale ...

Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of ... R with experience in data analysis libraries and platforms like Databricks for large-scale ...

As a Data Scientist, you will build AI/ML solutions and support business decisions through advanced ... R with experience in data analysis libraries and platforms like Databricks for large-scale ...

They are seeking a Data Scientist to build AI/ML solutions that enhance understanding of customers ... R with experience in data analysis libraries and platforms like Databricks for large-scale ...

Required : • A bachelor's degree or higher in Data Science, Computer Science, Data Analytics ... Python, R, Business Intelligence tools and data cleaning and wrangling. • Proficient in the ...

A bachelor's degree or higher in Data Science, Computer Science, Data Analytics, Business Analytics ... Python, R, Business Intelligence tools and data cleaning and wrangling. * Proficient in the ...

Experience collaborating with research, publishing, or data science teams The wage range for this ... The Center for Economic Research, within R&I, is focused on delivering high-quality thought ...

... R, or SQL. • Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications: • MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or ...

Experience in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications: MBA or Masters in Statistics, Data Science ...

... R, or SQL. • Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications: • MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or ...

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Data Science R information

See Omaha, NE salary details

$35.9K

$117.4K

$188K

How much do data science r jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science r in Omaha, NE is $117,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are popular job titles related to Data Science R jobs in Omaha, NE? For Data Science R jobs in Omaha, NE, the most frequently searched job titles are:
Infographic showing various Data Science R job openings in Omaha, NE as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,414 per year, or $56.4 per hour.
Data Scientist

Other

Posted 19 days ago


Job description

About Agile Defense
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.
Requisition Number: 1417
Title: Data Scientist
Clearance: DoD Active Top Secret
Location: Omaha, NE
Overview:
As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role will help support understanding our customers, markets, and operations through advanced analytics and machine learning. You'll work closely with business leaders, product teams, and engineering to identify opportunities, test hypotheses, and build predictive models that inform critical business decisions and drive measurable impact.
Responsibilities/Duties:
Drive Data-Driven Discovery
• Conduct deep-dive analyses to understand customer behavior, market trends, and business performance
• Design and execute sophisticated experiments to test business hypotheses and measure feature impact
• Build predictive models that forecast business outcomes and identify growth opportunities
• Apply advanced statistical techniques to solve complex business problems across multiple domains
Lead Analytics Strategy
• Partner with business leaders to identify high-impact analytical opportunities and frame research questions
• Influence product and business strategy through data-driven insights and recommendations. Build analytical frameworks.
• Present complex findings to executive stakeholders in compelling, actionable formats
Build Innovative ML Solutions
• Develop models for segmentation, recommendation systems, risk assessment, and optimization
• Create statistical models that quantify business impact and guide resource allocation decisions
• Collaborate with ML engineers to transition research models into production systems
Enable Advanced Analytics
• Establish statistical rigor and experimental design standards across the organization
• Build analytical tools and methodologies that other teams can leverage for their own insights
Foster Data-Driven Culture
• Train and mentor stakeholders on analytical thinking and data interpretation
• Communicate complex statistical concepts to non-technical audiences in understandable ways
• Advocate for data quality and proper experimental design in business decision-making
• Contribute to the analytical capabilities and methodologies of the broader data team
Required Skills - What You'll Bring:
• 3+ years of experience regression analysis, and building predictive models for business applications with measurable impact
• Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
• Strong programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics
• Business acumen with proven ability to translate complex analytical findings into strategic business recommendations and actionable insights
• Machine learning expertise with experience building and validating models using scikit-learn, TensorFlow, or similar frameworks on platforms like Databricks
• Data analysis and visualization abilities using advanced analytics tools and integrating with business intelligence platforms (Tableau, PowerBI, Qlik)
• Database and analytical platform experience with SQL, statistical software, and modern data analysis environments
Preferred Skills - What Would Set You Apart:
• Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
• Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
• Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
• Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar.
• Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
• Analytics platform knowledge including experience with Advana
WORKING CONDITIONS
Environmental Conditions
• Contractor site with varied travel possible. Possible off-hours work to support releases and outages. General office environment. Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. The working environment is generally favorable. Lighting and temperature are adequate, and there are not hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.
Strength Demands
• Sedentary - 10 lbs. Maximum lifting, occasional lift/carry of small articles. Some occasional walking or standing may be required. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
Physical Requirements
• Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; Stoop, Kneel, Crouch, or Crawl; See; Push or Pull; Climb (stairs, ladders) or Balance (ascend / descend, work atop, traverse).
Our Core Values
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.