Data-Driven Developer

Role Overview

• Lead front-end development efforts with a focus on data visualization and analytics-driven user interfaces
• Develop, update, and maintain front-end code for web applications that surface data science insights and predictive analytics
• Write, design, and implement efficient, reusable, and reliable code using HTML5, JavaScript, Python, and R
• Integrate UI/UX designs into user-friendly interfaces and web app front-ends using React.js, with emphasis on interactive data visualizations
• Bridge the gap between data science outputs and user-facing applications, translating complex analytical results into intuitive interfaces
• Lead the integration of AI/ML capabilities into applications, identifying opportunities to leverage emerging AI technologies
• Champion AI-forward development practices and guide the team in implementing AI/ML features and data-driven experiences
• Develop and execute unit tests for product components to ensure quality and reliability
• Provide technical leadership and mentorship to grow the team's capabilities at the intersection of front-end development and data science
• Lead architecture discussions and provide strategic guidance on technology adoption, data integration, and visualization strategies
• Identify and pursue opportunities to expand development initiatives with Army stakeholders
• Collaborate effectively with data scientists, UX designers, and software developers using Git, participating in code reviews and adopting Agile methodologies
• Engage with Army managers and representatives in a consultative capacity to identify software needs, explore innovative data-driven solutions including AI applications, and build strategic relationships that expand our development footprint
• Document and test your code thoroughly, ensuring adherence to industry standards and best practices including CI/CD and automated deployments
• Comfortable working independently and as a member of a team, with demonstrated ability to work in strategic and consultant-oriented environments
• Excellent verbal and written communication skills with ability to articulate technical concepts to non-technical stakeholders and influence strategic decisions

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Software Engineering, Information Systems, or a related field, or equivalent work experience
• 3-5 years of experience in front-end development with exposure to data science workflows and analytics
• Proficiency in HTML5, CSS, JavaScript, Python, and data visualization libraries (D3.js, Plotly, Recharts, or similar)
• Experience with React.js and building interactive, data-driven user interfaces
• Experience with Python for data manipulation and analysis (pandas, numpy, or similar)
• Familiarity with R and Shiny for statistical computing and interactive applications is a plus
• Demonstrated experience in planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise-level system
• Familiarity with Git, Agile methodologies, CI/CD, and automated deployments
• Demonstrated experience in leadership roles, technical mentorship, or client relationship management
• Active Secret Clearance required

Tech Stack

• D3.js
• JavaScript
• Numpy
• Pandas
• Python
• React

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development
• Bonuses