Mid-Data Scientist

Steer Bridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of Steer Bridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent;
we cultivate it
, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Steer Bridge is seeking a Mid-Data Scientist to analyze multidimensional aviation, global supply chain, and operational data to develop and maintain predictive models. The ideal candidate has hands‑on experience with statistical modeling, machine learning, and time‑series analysis and is comfortable working with complex data from multiple sources and formats. Candidates must have hands‑on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction.

This role requires a quick learner who is curious, innovative, results‑oriented, and able to identify meaningful trends and patterns within large, complex datasets. Strong interpersonal skills and the ability to work effectively with partners are also essential.

• Develop, evaluate, and maintain predictive and statistical models.
• Lead or support end‑to‑end analytical modeling and data science framing activities.
• Analyze and integrate large, complex datasets from multiple sources and formats.
• Apply regression, time‑series analysis, and supervised and unsupervised machine learning techniques.
• Work with partners to identify data fields, sources, and integration requirements.
• Assess data quality, provenance, and suitability for modeling.
• Identify and communicate relevant trends and patterns within complex datasets.
• Document data processes, methodologies, and models.

• Health insurance
• Dental insurance
• Vision insurance
• Life Insurance
• 401(k) Retirement Plan with matching
• Paid Time Off
• Paid Federal Holidays

• Must be a U.S. Citizen.
• MSc or PhD degree in applied mathematics, statistics, or relevant work experience.
• An active security clearance or the ability to obtain one is required.
• Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
• Provide guidance on best practices and industry standards across data science and analytics, data visualization, and share expertise to improve technical capabilities of the team.
• Design, develop, and integrate templates, data, and models for repeatability.
• Develop and implement data quality assurance and management protocols.
• Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses.
• Location:
  
  Must be local to the Vienna, Va area and able to work on‑site at our Vienna, VA office (3+ days/week). Hybrid opportunities at supervisors' discretion.

• Must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis.
• Must have hand‑on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
• Must have experience documenting algorithm development and implementation.
• 3+ years in the aerospace industry preferred.
• 4+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
• 4+ years of experience in advanced Classification and Regression modeling.
• 4+ years of professional proficiency using R, or Python for data wrangling and model building.
• Experience in SQL or Spark SQL, and basic database design.
• Cloud project work using Google, AWS and/or Azure.
• Demonstrated high proficiency in…