Senior Data Scientist, Engineering Analytics

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. These include, but are not limited to, the application of innovative large language models aimed at deriving insights from maintenance and engineering documentation, technical instructions, and operational text data. Analyses may also include cross-skill partnerships for the development of risk metrics, predictive maintenance solutions, and aircraft performance alerts.

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 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

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.

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
• 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
• Must be performing satisfactorily in present position
• Consistently prioritizes safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.
• 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 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 preferred
• 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