Agile Defense
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Full Stack Engineer
role at
Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. Thats 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 agilityleveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nations vital interests. REQUISITION NUMBER:
1047 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. Youu2019ll 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 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 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 Youll Bring
3+ years of experience with 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. Off-hours work to support releases and outages. General office environment. Sedentary work with up to 10% standing or walking. Usually in a standard office environment.
Strength Demands
Sedentary 10 lbs maximum lifting; occasional lift/carry of small articles
Physical Requirements
Stand or sit; walk; repetitive motion; use hands/fingers; stoop, kneel, crouch, or crawl; see; push or pull; climb or balance
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. #J-18808-Ljbffr
Full Stack Engineer
role at
Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. Thats 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 agilityleveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nations vital interests. REQUISITION NUMBER:
1047 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. Youu2019ll 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 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 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 Youll Bring
3+ years of experience with 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. Off-hours work to support releases and outages. General office environment. Sedentary work with up to 10% standing or walking. Usually in a standard office environment.
Strength Demands
Sedentary 10 lbs maximum lifting; occasional lift/carry of small articles
Physical Requirements
Stand or sit; walk; repetitive motion; use hands/fingers; stoop, kneel, crouch, or crawl; see; push or pull; climb or balance
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. #J-18808-Ljbffr