Steerbridge7mo ago

USD 137000–155000/yr

Data Scientist

United States·ViennaFull-timemid

Data ScienceData ScientistDataData & AI

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Overview

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,

Technical Tools

Data ScienceData ScientistDataData & AI

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.

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.

RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs

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.

Preferred:

(Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.

Top Secret security clearance.

Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems).

Experience supporting DoD and/or VA missions.

Proficiency in integrating and interfacing with software development processes.

Consulting experience.