Mid-Data Scientist

SteerBridge is seeking a Mid-Data Scientist to analyze multidimensional aviation, global supply chain, and operational data to develop and maintain predictive models. The ideal candidate has hands-on experience with statistical modeling, machine learning, and time-series analysis and is comfortable working with complex data from multiple sources and formats. Candidates must have hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction. This role requires a quick learner who is curious, innovative, results-oriented, and able to identify meaningful trends and patterns within large, complex datasets. Strong interpersonal skills and the ability to work effectively with partners are also essential.

• →Develop, evaluate, and maintain predictive and statistical models.
• →Lead or support end-to-end analytical modeling and data science framing activities.
• →Analyze and integrate large, complex datasets from multiple sources and formats.
• →Apply regression, time-series analysis, and supervised and unsupervised machine learning techniques.
• →Work with partners to identify data fields, sources, and integration requirements.
• →Assess data quality, provenance, and suitability for modeling.
• →Identify and communicate relevant trends and patterns within complex datasets.
• →Document data processes, methodologies, and models.

• 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.
• Location: Must be local to the Vienna, Va area and able to work on-site at our Vienna, VA office (3+ days/week). Hybrid opportunities at supervisors' discretion. 

• 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).
• Must have experience documenting algorithm development and implementation.
• 3+ years in the aerospace industry preferred.
• 4+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
• 4+ years of experience in advanced Classification and Regression modeling.
• 4+ 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 preferred.

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