Senior Data Scientist Engineering Analytics

Delta Air Lines

Atlanta, GA

Full Time

Senior

7 days ago

Job Description

About the Role

The Senior Data Scientist, Engineering Analytics will help advance the engineering and maintenance organization through the application of innovative and robust analytical and modeling solutions aimed at deriving insights from complex aircraft mechanical performance data. This role involves developing machine learning models, natural language processing solutions, and predictive maintenance tools to improve aircraft reliability and operational efficiency. The candidate will collaborate with cross-functional teams, communicate insights effectively, and contribute to continuous improvement in data science practices.

Key Responsibilities

Develop machine learning models and advanced analytics solutions for complex business problems in the engineering, predictive maintenance, and aircraft reliability space
Make appropriate selection, utilization, and interpretation of advanced analytics methodologies
Participate in continuous improvement of data science by developing replicable solutions and well documented models
Seek further knowledge on key developments within data science and related fields
Provide technical education on advanced analytics to the data science community
Clearly communicate impacts of the recommended analytics solutions to business partners to drive adoption and implementation

Requirements

Master's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience (Doctoral degree preferred)
3-5 years of work experience in advanced analytics and data science
Working knowledge of GIT for code management
Good written, oral communication, and interpersonal skills
Strong project management, organizational, and prioritization skills
Embraces diverse people, thinking, and styles
Must be performing satisfactorily in present position
Consistently prioritizes safety and security of self, others, and personal data
Possesses a high school diploma, GED, or high school equivalency
Is at least 18 years of age and has authorization to work in the United States

Nice to Have

Experience with AWS services for Data Science development (e.g., Sagemaker, S3, Bedrock) or equivalent cloud services
Fluency with SQL and relational databases
Knowledge of transformer architecture and current landscape of LLM
Working knowledge of API Consumption
Proficiency in building and fine-tuning transformer-based models (e.g., BERT) for NLP and classification tasks
Familiarity with API consumption and orchestration of pipelines
Comfortable with command-line tools and automating workflows via Python scripts
Hands-on experience with prompt engineering
5 or more years experience in the Data Science domain