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.
Primary Functions:
Develop machine learning models and advanced analyticssolutions for complex business problems in the engineering, predictivemaintenance, and aircraft reliability space
Make appropriate selection, utilization, andinterpretation of advanced analytics methodologies
Participate in continuous improvement of data science bydeveloping replicable solutions and well documented models
Seek further knowledge on key developments within datascience and related fields
Provide technical education on advanced analytics to thedata science community
Clearly communicate impacts of the recommended analyticssolution to business partners to drive adoption and implementation
What you need to succeed (minimum qualifications)
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
What will give you a competitive edge (preferred qualifications)
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, NumPy, SciPy, and MLflow or similar tools.
Experience with SQL and large-scale data querying
Experience with timeseries data modeling, anomaly detection
Experience in using GE Aerospace EMS (Event Measurement System) application
Benefits and Perks to Help You Keep Climbing
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 pro?t 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 time within a 12-month period.
10 paid holidays per calendar year.
Birthing parents are eligible for 12-weeks of paid maternity/parental leave.
Non-birthing parents are eligible for 2-weeks of paid parental leave.
Comprehensive health bene?ts including medical, dental, vision, short/long term disability and life insurance bene?ts.
Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages.
Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health.
Domestic and International space-available flight privileges for employees and eligible family members.
Career development programs to achieve your long-term career goals.
World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint.
Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies.
Recognition rewards and awards through the platform Unstoppable Together.
Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.
Delta Air Lines, Inc. is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation in its application process for qualified individuals with disabilities and disabled veterans. If you are a qualified individual, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings through this site, apply for jobs through Delta's online system, or at any point in the selection process. To request a reasonable accommodation, please click here
