Pay: USD 160,000–190,000/year — pay source
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.
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Work setup: On-site stated — work setup source
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:
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Employment: Full-time — employment source
Employment type Full-time
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What you’ll work on

Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
Design, develop, and integrate templates, data, and models for repeatability.
Develop and implement data quality assurance and management protocols.

From the employer’s posting

Key Responsibilities 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.

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.

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.

What you’ll bring

All qualifications

Core 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.

Preferred experience

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).

Qualification wording

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).

Education & alternatives

- 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.

Tools in this posting

Python
R
SQL
AWS
Azure
Spark
Transformers
Google Cloud (GCP)
Huggingface

Source

- 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

Benefits in the posting

Full benefits wording

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

From the employer’s posting.

Job description

View original posting ↗

SteerBridge 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 SteerBridge 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.

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

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.

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.
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.

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

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

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.

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.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

Employment type

Full-time

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: 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.
Location & working pattern: 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:
Work authorization: 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.

Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 26, 2026
Recorded sightings: 33
Last seen by us: Oct 8, 2026
Employer says posted: Jun 23, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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