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Mid-Level
Data Scientist
Confirmed live in the last 24 hours
SteerBridge
Vienna, VA
On-site
Posted October 2, 2025
Job Description
SteerBridge Strategies 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.
SteerBridge is looking for a Data Scientist to evaluate multi-dimensional USMC C130 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 linear
and 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 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 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 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.
goaidata
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