Contract Python Data Analysis Jobs in Omaha, NE (NOW HIRING)

Data Scientist
Omaha, NE - Data Analytics & AI – BI and Advanced Analytics /Regular /On-site 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: 1265 Title: Data Scientist Clearance: DoD Active Top Secret Locations: Stuttgart Germany; Omaha, NE; Fort Meade, MD; Scott AFB, IL; Doral, FL Non-Employee Referral Bonus Eligible: $2,000 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). 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. We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section. 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. 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.