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Delta Air Lines

Co-op, Delta Wellness - Data Science (Summer, 2025)

Delta Air Lines, Atlanta, Georgia, United States, 30383


Co-op, Delta Wellness - Data Science (Summer, 2025)

United States, Georgia, Atlanta

Global Health and Wellbeing

21-Aug-2024

Ref #: 25829

LinkedIn Tag: #LI-MP2

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

Delta Wellness Data Science Co-op

Delta is expanding its wellness data science, data engineering and reporting capabilities while unlocking initiatives that drive improvements in the health and wellness of our employees, their families, and our customers.

The Delta Wellness Data Science Co-op will develop analyses of data that provide key insights and takeaways into the wellness ecosystem at Delta. This will encompass using programming methods to explore and merge data from wellness resources, creating analyses and communicating results through presenting, reporting, and visualization.

In addition, this role will provide ad-hoc support for reporting and data inquiries related to wellness data.

A successful candidate will espouse Delta's core values of Honesty, Integrity, Respect, and Perseverance. Additionally, they will exhibit strong analytical and technical skills, a bias for action, and the ability to partner with others to drive results. Data-driven insights are crucial to forming business decisions around wellness at Delta, and this position will require a curious learner whose responsibilities will be to generate insights around wellness resources. A successful candidate will also have strong programming and analytical skills - finding ways to creatively and effectively explore and summarize data.

Students must be able to complete 3 alternating rotations in Atlanta, GA in line with the below schedule:

Summer 2025 - 1st rotation

Spring 2026 - 2nd rotation

Fall 2026 - 3rd rotation

Primary Functions

Locate, extract, and combine data from a variety of sources into single, analyzable datasets

Summarize analysis data using statistical, tabular, and visualization methods

Utilize analytical tools to measure relationships between predictor variables and outcomes of interest

Assemble reports of analysis results, summarizing key takeaways and insights answering business questions around employee wellness

Maintain and continually improve analyses/reports based on input from key stakeholders

Identify and continually seek to improve data and tools available to Delta as a part of the Delta Wellness platform

What you need to succeed (minimum qualifications)

1+ years of R, Python, or other programming scripting languages

1+ years of SQL experience and an understanding of efficient query practices

1+ years of experience in data analysis, statistics, data mining, machine learning, information science, or another relevant quantitative field

Functional understanding of basic and object-oriented programming concepts (loops, conditionals, variables, functions, multi-dimensional arrays)

Must be comfortable working in group and individual settings

Working on a Bachelor's degree ideally in Data Science, Statistics, Computer/Information Science, Mathematics, or another relevant quantitative field

Understanding of cloud computing technologies like AWS

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)

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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