Real-Time Data Scientist for National Security AI

artificial intelligence and robotics laboratory (itu air lab); Pittsburgh (Allegheny County); On-site; USD 90,000 - 130,000; Full time

Job summary

Air seeks an inquisitive data scientist to work with large datasets and design scalable statistical systems for real-time decision making. You will lead data-driven research, apply advanced analytics, and expand capabilities across Air’s platform to drive business results.

The candidate must be highly organized, self-motivated, and able to communicate clearly. This is a full-time role based in Pittsburgh with travel up to 25% to meet client needs.

Qualifications

• U.S. Citizenship is required.
• Bachelor's degree in CS/CE/Math/Stats; Master’s or PhD preferred.
• Minimum 3 years of hands-on data science experience.
• Minimum 3 years of experience deriving key insights and KPIs for external and internal customers.
• Regular development experience in Python.
• Prior hands-on experience working with data-driven analytics.
• Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks).
• Ability to work independently with little supervision.
• Strong communication and interpersonal skills.
• A burning desire to work in a challenging fast-paced environment.

Responsibilities

• Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms.
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems.
• Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices.
• Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases.
• Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Air SaaS platform.
• Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code.
• Partner with internal Air business analysts and external client teams to seek out the best solutions regarding data-driven problem-solving.
• Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers.

Skills

Python

Data science

Statistical analysis

Communication

Independent work

Team collaboration

Problem solving

Education

Bachelor's degree in CS/CE/Math/Stats

Master's or PhD preferred

Tools

SQL

Spark

NLP frameworks (spaCy, BERT)

Git

Job description

Air seeks an inquisitive data scientist to work with large datasets and design scalable statistical systems for real-time decision making. You will lead data-driven research, apply advanced analytics, and expand capabilities across Air’s platform to drive business results.

The candidate must be highly organized, self-motivated, and able to communicate clearly. This is a full-time role based in Pittsburgh with travel up to 25% to meet client needs.