SteerBridge

Jun 23, 2026

Senior Data Scientist

HybridUnited States

Vienna, Virginia, United States

PythonSQLAWS

About the opportunity

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.

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.

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.

Minimum requirements

Candidates must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).

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.

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.

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.

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.

$175,000 - $195,000 a year

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.

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). \n

Benefits

Health insurance

Dental insurance

Vision insurance

Life Insurance

401(k) Retirement Plan with matching

Paid Time Off

Paid Federal Holidays \n

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. \n

Languages

Senior Data Scientist

About the opportunity

Position Overview

Minimum requirements

Required Qualifications

Key Responsibilities

Preferred Qualifications

Benefits

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