Senior Data Scientist

About the role

The Senior Data Scientist will evaluate multi-dimensional aviation global supply chain and operational data to construct and maintain predictive models. Key responsibilities include:

• Leading end-to-end analytical models and data science framing activities
• Working with partners to identify fields, data provenance and integration, data quality assessments, and documentation of data processes and models
• Reviewing and understanding large sets of data while highlighting relevant trends and patterns
• Collaborating with various stakeholders to understand requirements and translate those requirements into data science solutions
• Providing guidance on best practices and industry standards across data science and analytics
• Designing, developing, and integrating templates, data, and models for repeatability
• Developing and implementing data quality assurance and management protocols
• Creating, maintaining, and organizing technical documentation for all data collection, cleaning, and analyses

Responsibilities

• 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
• Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses

Requirements

• 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
• Must be a U.S. Citizen
• 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
• (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

Qualifications

• 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

Pay

TBD

Schedule

Hybrid opportunities at supervisors' discretion