Job description

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 seeking a Data Scientist (Mid-Level) to support the Modern Disability Claims program. This role independently owns analytical projects from problem framing through model deployment, applying statistical modeling and machine learning to claims and healthcare data in support of VA disability claims processing. Key Responsibilities Independently design, build, validate, and maintain statistical and machine learning models to support claims and healthcare data analysis. Perform exploratory data analysis, feature engineering, and data validation across claims, clinical, and other healthcare datasets. Manage analytical projects from problem framing through model deployment, including sprint planning, prioritization, and status reporting, with minimal oversight. Collaborate with data engineers and architects to source, integrate, and validate data required for modeling and analytics. Troubleshoot and resolve data pipeline, modeling, and analytical issues of moderate complexity. Document model design, assumptions, methodologies, performance, and validation results and communicate findings to technical and non-technical stakeholders. Mentor junior data scientists on modeling techniques, coding standards, and analytical best practices. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor’s degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field; 9+ years of relevant experience may be considered in lieu of a degree. 3–6 years of experience in data science, statistics, or a related field. Strong proficiency in Python or R for statistical modeling and data wrangling, with experience using SQL to work with large, complex datasets. Experience with supervised and unsupervised machine learning techniques, including classification, regression, and clustering. Experience with data visualization and communicating analytical findings to technical and non-technical audiences. Familiarity with cloud platforms such as AWS, Azure, or GCP, with strong communication and collaboration skills. Preferred Qualifications Master’s degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. Experience with Jupyter notebooks, Git, and collaborative coding workflows. Experience supporting healthcare, claims, insurance, or federal programs. Familiarity with NLP or deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience mentoring junior team members. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays 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.

Requirements

Must-haves

Position Overview
Independently design, build, validate, and maintain statistical and machine learning models to support claims and healthcare data analysis.
Perform exploratory data analysis, feature engineering, and data validation across claims, clinical, and other healthcare datasets.
Manage analytical projects from problem framing through model deployment, including sprint planning, prioritization, and status reporting, with minimal oversight.
Collaborate with data engineers and architects to source, integrate, and validate data required for modeling and analytics.
Troubleshoot and resolve data pipeline, modeling, and analytical issues of moderate complexity.
Document model design, assumptions, methodologies, performance, and validation results and communicate findings to technical and non-technical stakeholders.
Mentor junior data scientists on modeling techniques, coding standards, and analytical best practices.
Bachelor’s degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field; 9+ years of relevant experience may be considered in lieu of a degree.
3–6 years of experience in data science, statistics, or a related field.
Strong proficiency in Python or R for statistical modeling and data wrangling, with experience using SQL to work with large, complex datasets.
Experience with supervised and unsupervised machine learning techniques, including classification, regression, and clustering.
Experience with data visualization and communicating analytical findings to technical and non-technical audiences.
Familiarity with cloud platforms such as AWS, Azure, or GCP, with strong communication and collaboration skills.

Nice-to-haves

Master’s degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
Experience with Jupyter notebooks, Git, and collaborative coding workflows.
Experience supporting healthcare, claims, insurance, or federal programs.
Familiarity with NLP or deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience mentoring junior team members.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilemachine learningpythonsqlawsazuregcp

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off