Senior Data Scientist / AI Scientist

Location: Hybrid role based in Arlington, VA, United States

Salary: $160,000–$225,000 per year, plus eligible performance bonuses and stock options.

Company

hirify.global is an AI and optimization company building advanced software for complex operational environments, including real-time communications, computer vision, audio intelligence, natural language processing, navigation, geospatial data, optimization, and secure cloud infrastructure.

What you will do

• Develop machine learning and deep learning models in Python and PyTorch.
• Design data mining, feature engineering, optimization, and predictive modeling workflows.
• Explore data, evaluate models rigorously, and communicate results clearly to leaders, operators, engineers, and stakeholders.
• Build data visualizations and analytic tools that make model results understandable.
• Partner with engineers to deploy models into production and ensure measurable operational value.
• Document methods, assumptions, and results across government and commercial programs.

Requirements

• Advanced degree in Computer Science, Statistics, Mathematics, Physics, or a related field, or equivalent experience.
• 5+ years of professional data science or machine learning experience.
• Strong proficiency in Python and PyTorch.
• Experience with deep learning, statistics, data mining, and data visualization tools.
• Legally authorized to work in the United States.
• Ability to obtain and maintain a U.S. government security clearance.

Nice to have

• Experience with computer vision, natural language processing, or time-series modeling.
• Experience with optimization or operations research.
• Experience with MLOps and production model deployment.
• Experience supporting federal or defense programs.
• Active or previously held U.S. government security clearance.

Culture & Benefits

• Health, dental, and vision coverage for eligible employees.
• Performance bonus opportunities and stock options.
• Flexible work environment with significant technical ownership.
• Direct influence over product and architecture decisions.
• Opportunities to work across AI/ML, distributed systems, computer vision, audio, NLP, navigation, optimization, and real-time infrastructure.
• Collaborative engineering environment with direct visibility into company and product strategy.