Senior Data Scientist [T500-20864]

About Delta Tech Hub :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Job Description :

Customer Experience (CX) organization is founded on delivering the Delta Brand experience via welcoming, elevating, and caring service, offering distinctive and premium choices to our customers across all destinations, and personalizing the experience to create memorable connections and deepened relationship with Delta.

CX’s Center of Excellence team is established to unlock new capabilities for Personalization, Insights, and Analytics. This team will deliver tangible, immediate incremental value to Delta using Artificial Intelligence / Machine Learning, simulation, optimization, visualization, and advanced analytics

Responsibilities & Primary Functions :

Responsible for the design, development, and monitoring of ML / AI models (e.g., forecasting, optimization, propensity models, etc.) that directly address the business requirements and drive measurable CX improvements

Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues

Demonstrates detailed understanding of data science techniques and machine learning algorithms, calibrating and enhancing existing models, and monitoring model performance

Write clean, robust, modular Python code for developing ML models

Leverage Gitlab to store, maintain, and collaborate on project code bases; conduct peer review code of fellow data scientists on the team

Experience in running experiments applying ML techniques such as Causal ML for evaluating impact of events such as new product launches, failure events, customer pain points, etc.

Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business

Presents analysis to business users in a digestible way

What you need to succeed (minimum qualifications) :

Bachelor’s degree in data science, statistics, mathematics, computer science or engineering field

3+ years of relevant experience in data science / machine learning, working with traditional ML use-cases that use tabular data

Hands-on experience in business case delivers with customer / consumer level data

Knowledge and experience in implementing Causal ML for experimentation use-cases

Strong grasp of core statistics concepts

Thorough understanding of key machine learning algorithms (e.g., supervised and unsupervised learning techniques, while avoiding superficial application of algorithms)

Expert proficiency in SQL and Python for data science / machine learning

Proficiency in using code repository management applications (i.e., GitHub) for storing, maintaining, and collaborating with others on project code

Experience in designing and implementing ML / AI models for cloud-based solutions on leading cloud providers (i.e., AWS, Azure, etc.)

Embraces diverse people, thinking, and styles

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

Behavioral Competencies :

Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.

Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively.

Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.

Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends.

Inquisitive to understand customer and business expectations while bringing more valuable contributions on technical solutions.

What will give you a competitive edge (preferred qualifications) :

Personal Git repository of ML projects executed on public datasets and / or leveraged in data science competitions

Knowledge of additional machine learning areas such as Generative AI – LLMs, RL, Optimization, etc.

Knowledge of ML lifecycle management platforms such as ML Flow, AWS Sagemaker, etc.

Knowledge of ML Ops activities

Self-motivated and take pride in building great experiences for users, whether they are employees or customers

Resourceful in finding the data and tools you need to get the job done

Not afraid to ask for help when you need it, or help teammates when they need a boost

Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience