Data Scientist
Vienna, VA
- Pay
USD 137,000–155,000/year — pay source
Salary 137,000 – 155,000 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- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingPerform 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 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 experience
- 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.
Qualification wording
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.
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.
Tools in this posting
- Python
- R
- SQL
- AWS
- Azure
- Google Cloud (GCP)
- PyTorch
- TensorFlow
- scikit-learn
Source — Tool mentions in context
- 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
- 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 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
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.
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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
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
137,000 – 155,000 USD per year
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 137,000 – 155,000 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
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
- Status in our records
- Active
- First seen by us
- Aug 20, 2026
- Recorded sightings
- 16
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Aug 17, 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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