Senior Data Scientist (Vienna)

About the Company 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. About the Role SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation 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 hands-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). Responsibilities The Senior 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 Senior 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 Senior Data Scientist must be able to review and understand large sets of data while being able to highlight relevant trends and patterns. Qualifications 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.

Required Skills 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 hands-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction). 5+ years in the aerospace industry. 7+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools. 7+ years of experience in advanced Classification and Regression modeling. 7+ 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. Aviation Background Required! Preferred Skills (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. RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs.