Senior Data Scientist

SteerBridge•Vienna, VA

12d•Hybrid

About The Position

SteerBridge Strategies is seeking a Senior Data Scientist to evaluate multi-dimensional aviation global supply chain and operational data to construct and maintain predictive models. The role involves diving deep into disparate data from multiple sources in multiple formats to integrate and evaluate, determining the most appropriate modeling approach. The Senior Data Scientist will lead end-to-end analytical models and data science framing activities, including working with partners to identify fields, data provenance and integration, data quality assessments, and documentation of data processes and models. The ideal candidate is a quick learner, curious, innovative, results-oriented, and possesses strong interpersonal skills.

Requirements

Must be a U.S. Citizen.
M.S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor's degree in a relevant discipline with equivalent professional experience.
An active security clearance or the ability to obtain one is required.
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.
6+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
6+ years of experience in advanced Classification and Regression modeling.
6+ years of professional proficiency using R, or Python for data wrangling and model building.
Experience in SQL or Spark SQL, and basic database design.
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.

Nice To Haves

6+ years in the aerospace industry preferred.
Cloud project work using Google, AWS and/or Azure.
AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.
Proficiency in integrating and interfacing with software development processes.
Consulting experience.
RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs

Responsibilities

Evaluate multi-dimensional aviation global supply chain and operational data to construct and maintain predictive models.
Dive deep into disparate data from multiple sources in multiple formats to integrate and evaluate to determine the most appropriate modeling approach.
Lead end-to-end analytical models and data science framing activities.
Work with partners to identify fields, data provenance and integration.
Perform data quality assessments.
Document data processes and models.
Review and understand large sets of data while highlighting relevant trends and patterns.
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.