Pay
In line with similar jobs
$160K–$190K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Salary 160,000 – 190,000 USD per year SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.Read the full posting
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. Required Qualifications:Read the full posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
US citizenship is required for this position under applicable federal contract requirements
Translate stakeholder requirements into data science solutions
Build and maintain predictive models on aviation supply chain data
Lead end-to-end analytical models and data integration with partners
Develop and implement data quality assurance protocols
Create and maintain technical documentation for data and analyses
Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
evaluate multi-dimensional aviation global supply chain and operational data to construct and maintain predictive models
leading end-to-end analytical models and data science framing activities
Develop and implement data quality assurance and management protocols.
Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses.
6+ years of experience applying statistical modeling and analytics, including advanced classification, regression, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis.
Hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction, with a strong record of applied data analysis.
6+ years of professional proficiency using R or Python for data wrangling and model development, with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud.
Demonstrated proficiency in statistical analysis, data visualization, data wrangling, and documenting analytical methodologies, algorithms, and implementations across a variety of tools and data platforms.
Proficiency in integrating and interfacing with software development processes.
Experience with modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs).
- 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. - M.S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor’s degree in a relevant discipline with equivalent professional experience. - 6+ years of experience applying statistical modeling and analytics, including advanced classification, regression, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis.
From the employer’s posting.
Open 4 monthsWe first saw this posting 131 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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In line with similar jobs
$160K–$190K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 131
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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- Hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction, with a strong record of applied data analysis. - 6+ years of professional proficiency using R or Python for data wrangling and model development, with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud. - Demonstrated proficiency in statistical analysis, data visualization, data wrangling, and documenting analytical methodologies, algorithms, and implementations across a variety of tools and data platforms.
Preferred Qualifications: - AWS or Google Cloud Professional or Specialty Certification, or the ability to obtain certification, highly preferred. - Proficiency in integrating and interfacing with software development processes.
- Consulting experience. - Experience with modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs). Benefits
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Position Overview
SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation global supply chain and operational data to construct and maintain predictive models. Candidates must be familiar with multiple types of data models including, but not limited to, generalized linearand multilinear regression, logistic and multinomial regression, and time series analysis.
Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling approach. The Senior Data Scientist will be responsible for leading end-to-end analytical models and data science framing activities, including but not limited to working with partners to identify fields, data provenance and integration, data quality assessments, and documentation of data processes and models.
The Senior Data Scientist must be able to review and understand large sets of data while being able to highlight relevant trends and patterns. The ideal candidate is a quick learner, curious, innovative, results-oriented and has strong interpersonal skills.
Key Responsibilities
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.
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.
M.S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor’s degree in a relevant discipline with equivalent professional experience.
6+ years of experience applying statistical modeling and analytics, including advanced classification, regression, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis.
Hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction, with a strong record of applied data analysis.
6+ years of professional proficiency using R or Python for data wrangling and model development, with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud.
Demonstrated proficiency in statistical analysis, data visualization, data wrangling, and documenting analytical methodologies, algorithms, and implementations across a variety of tools and data platforms.
Strong organizational and communication skills, with the ability to manage multiple projects accurately and on schedule and communicate complex analytical concepts effectively to diverse audiences.
AWS or Google Cloud Professional or Specialty Certification, or the ability to obtain certification, highly preferred.
Proficiency in integrating and interfacing with software development processes.
Consulting experience.
Experience with modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs).
The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate’s relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.
SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility.
160,000 – 190,000 USD per year
Full-time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 160,000 – 190,000 USD per year SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
Vienna, VA
- 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. Required Qualifications:
Required Qualifications: - 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. - M.S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor’s degree in a relevant discipline with equivalent professional experience.