Data Scientist Real-Time Analytics for National Readiness

Air; Pittsburgh (Allegheny County); On-site; USD 120,000 - 190,000; Full time

Job summary

Air in Pittsburgh seeks a data scientist to join our team and work with large datasets to uncover connections, knowledge, and insights for government clients. You will design scalable statistical systems and lead data‑driven research using advanced analytics to drive business results.

You will collaborate with software, machine learning, data, and QA engineers in an agile environment, traveling up to 25%. A strong communicator with independence and initiative will thrive here.

Qualifications

• U.S. Citizenship is required.
• 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 programming

Data science

Statistical analysis

Machine learning

Communication

Independent work

Education

Bachelor's degree in Computer Science or related field

Master’s or PhD preferred

Tools

SQL

Job description

Air in Pittsburgh seeks a data scientist to join our team and work with large datasets to uncover connections, knowledge, and insights for government clients. You will design scalable statistical systems and lead data‑driven research using advanced analytics to drive business results.

You will collaborate with software, machine learning, data, and QA engineers in an agile environment, traveling up to 25%. A strong communicator with independence and initiative will thrive here.