Data Scientist
- Salary
- $115K–$155KUSD per year
- Hiring from
- United States
- Work type
- Hybrid
- Posted
- Sep 3, 2026
Position Overview
SteerBridge 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.
Key Responsibilities
- 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.
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Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
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MSc or PhD degree in applied mathematics, statistics, or a related field, or equivalent relevant work experience.
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4+ years of experience applying statistical modeling and analytics, including advanced classification and regression modeling, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis.
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Hands-on experience with supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction), with a strong record of applied data analysis.
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4+ years of professional proficiency using R or Python for data wrangling and model development, along with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud.
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Demonstrated proficiency in statistical analysis, data visualization, data quality assurance, data management, and the development and documentation of analytical models, algorithms, methodologies, and processes.
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Ability to collaborate with stakeholders, translate requirements into data science solutions, provide technical guidance, and communicate complex analytical concepts clearly to technical and non-technical audiences.
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Strong organizational and project-management skills, with the ability to manage multiple priorities accurately and on schedule; must be local to the Vienna, VA area and able to work on-site three or more days per week, with hybrid opportunities at the supervisor’s discretion.
Preferred Qualifications
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3+ years of experience in the aviation or aerospace industry.
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AWS or Google Cloud Professional or Specialty Certification, or the ability to obtain certification, highly preferred.
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Experience with supply chain management data systems and technologies, including ERP, Transportation Management Systems (TMS), and Warehouse Management Systems (WMS).
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Experience supporting DoD and/or VA missions and/or working in a consulting environment.
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Experience with software development processes and modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs).