Steerbridge Mid-Data Scientist at SteerBridge to analyze aviation, supply chain, and operational data and develop predictive models. Responsible for applying statistical modeling, machine learning, and time-series analysis to complex datasets.
Responsibilities
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.
Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
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.
Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role.
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).
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