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 linearand 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 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. The ideal candidate is a quick learner, curious, innovative, results-oriented and has strong interpersonal skills.
Qualifications
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.
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.
Required and Preferred Skillsets
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 in the aerospace industry preferred..
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.
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.
Proficiency in integrating and interfacing with software development processes.
Consulting experience.
RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life Insurance
- 401(k) Retirement Plan with matching
- Paid Time Off
- Paid Federal Holidays
Skills Required
- U.S. Citizen
- M.S. or Ph.D. in Applied Mathematics, Statistics, or related field (or Bachelor's with equivalent experience)
- Active security clearance or ability to obtain one
- Local to Vienna, VA and able to work on-site 3+ days/week
- Experience with generalized linear/multilinear regression, logistic/multinomial regression, and time series analysis
- Hands-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction)
- Experience documenting algorithm development and implementation
- 6+ years of experience evaluating relationships in data using statistical modeling and analytics tools
- 6+ years of advanced classification and regression modeling experience
- 6+ years professional proficiency using R or Python for data wrangling and model building
- Experience with SQL or Spark SQL and basic database design
- Cloud project experience using Google Cloud, AWS, and/or Azure
- High proficiency in statistical analysis, data visualization, data wrangling, and documentation
- Strong written and presentation skills; ability to communicate complex concepts to diverse audiences
- Ability to prioritize and manage multiple projects with high accuracy
- 6+ years in the aerospace industry
- AWS or Google Cloud Professional or Specialty Certification or ability to obtain
- Proficiency integrating and interfacing with software development processes
- Consulting experience
- Experience with RAG, embeddings, vector databases, Hugging Face transformers, BERT, BART, or other LLMs
