Senior Data Scientist – TechOps Predictive Engineering

Overview

How you'll help us Keep Climbing (overview & key responsibilities)

The Senior Data Scientist, Predictive Engineering 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. These include, but are not limited to, the application of machine learning techniques on both aircraft operational and maintenance data aimed at identifying precursors to component degradation across the entire aircraft.

Analyses may also include cross-skill partnerships for the development of risk metrics, key performance indicators leveraging large textual data repositories, and development of visual tools using business intelligence solutions.

An appropriate candidate will have hands-on experience in natural language processing, machine learning, statistical analysis, and data storytelling. The candidate should also have good organizational and communication skills.

• 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 solution to business partners to drive adoption and implementation

• 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

• Hands‑on experience developing, training, and deploying models using Tensorflow and/or Pytorch

• Extensive experience in regression analysis including, but not limited to, linear regression, Logistic regression. Able to explain and quantify regression results

• Significant experience in developing neural network, decision tree, random forest, and LSTM models

• Good written, oral communication, and interpersonal skills

• Strong project management, organizational, and prioritization skills

• Embraces diverse people, thinking and styles

• Consistently makes safety and security, of self and others, the priority

• (For internal applicants) must be performing satisfactorily in present position

• 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

• Experience with AWS services for scalable Data Science development (e.g., Sagemaker, S3, Bedrock) or equivalent cloud services including Palantir Foundry

• Familiarization with API consumption and orchestration pipelines

• Knowledge of transformer architecture and current landscape of LLM

• Strong proficiency in Python
  , including pandas
  , scikit‑learn
  , Num Py
  , Sci Py
  , and MLflow or similar tools.

• Experience with SQL and large‑scale data querying

• Experience with time series data modeling, anomaly detection

• Experience in using GE Aerospace EMS (Event Measurement System) application

Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:

• Competitive salary, industry-leading profit sharing program, and performance incentives.

• 401(k) with generous company contributions up to 9%.

• New hires are eligible for up to 56 hours of paid personal…