Data Scientist

Overview

Steer Bridge Strategies is a CVE-Verified Service-Disabled, Veteran-Owned Small Business (SDVOSB) delivering a broad spectrum of professional services to the U.S. Government and private sector. Backed by decades of hands-on experience in federal acquisition and procurement, we provide agile, best-in-class commercial solutions that drive mission success.

Our strength lies in our people—especially the veterans whose leadership, discipline, and dedication shape everything we do. At Steer Bridge, we don’t just hire talent—we empower it, creating meaningful career paths for those who have served and those who share our commitment to excellence.

Steer Bridge 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.

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

• Must be a U.S. Citizen.
• MSc or PhD degree in applied mathematics, statistics, or relevant work experience.
• An active security clearance or the ability to obtain one is required.
• 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.

• 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.
• Must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
• 3+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
• 3+ years of experience in advanced Classification and Regression modeling.
• 3+ years of professional proficiency using R, or Python for data wrangling and model building.
• Experience in SQL or Spark SQL, and basic database design.
• Cloud project work using Google, AWS and/or Azure.
• Demonstrated high proficiency in statistical analysis and data visualization.
• Demonstrated high proficiency in data wrangling and documentation.
• Solid technical skills across a wide variety of tools and data platforms.
• Able to successfully prioritize and manage multiple project tasks simultaneously and complete them in a timely manner with a high degree of accuracy.
• Strong record of applied data analysis.
• Excellent writing and presentation skills with a successful track record of communicating complex concepts to diverse audiences.

• (Highly preferred) AWS or Google Cloud Professional or Specialty…