Associate Data Scientist

The Data Scientist Associate role at United Airlines involves leveraging advanced analytics and machine learning to solve complex business problems. Candidates should have a bachelor's degree in relevant fields and 0-3 years of experience in analytics or data science. Proficiency in Python, R, SQL, and Excel is essential, along with strong analytical and problem-solving skills. The position offers opportunities to work with cutting-edge AI technologies and collaborate with cross-functional teams to drive enterprise impact. If you are passionate about data and innovation, this is an exciting opportunity to grow your career. As a Data Scientist Associate at United Airlines, you will work with cross-functional teams to analyze data and develop AI and ML-powered solutions. Your role will involve executing data analysis, machine learning, and optimization tools to support business processes. You will also engage with stakeholders to deliver insights and recommendations based on data-driven analysis. Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!

Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & ML powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning.

Job overview and responsibilities

• Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations

• Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools

• Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such as coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency

• Work with multiple multi-modal models spanning text, voice, and vision, and build data transfer pipelines and model monitoring to support their scalable deployment

• Research latest ML, DL and GenAI approaches to enable solutions to solve for different vertical teams and also to share the knowledge across the team

• Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers

• Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates.

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

Required Qualifications:

• BTech/Bachelor’s degree

• Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics

• Full time or internship experience in analytics/data science

• 0-3 years relevant work experience

• Excellent analytical and problem-solving skills

• Proficiency in Programming Languages (Python/R), SQL, Excel and other Microsoft Office products

• Intermediate knowledge in machine learning algorithms like Bagging (Decision Trees, RF), Boosting (XGBoost, GBM) , Clustering (KMeans)

• Proven comfort and an intellectual curiosity for working with very large sets of data

• Understanding of probability & statistics

• Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience

• Strong interpersonal skills with a focus on teamwork

Preferred Qualifications:

• MTech/Master’s degree

• Data Science, Business Analytics, Engineering, Technology, Computer Science, , Statistics, Operations Research, Applied Mathematics, Economics

• Knowledge of deep learning/neural networks and experience with NLP/CV

• Exposure to Large Language Models (LLMs), and Agentic application design and frameworks (e.g. Langgraph/Langchain)

• Hands-on ability to use modern AI tools (e.g., LLMs and AI-assisted development tools) to prototype and build products and solutions

• Hands on experience in using AWS/Azure etc

The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work!

Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & ML powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art ML techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning.

Job overview and responsibilities

• Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations

• Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools

• Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such as coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency

• Work with multiple multi-modal models spanning text, voice, and vision, and build data transfer pipelines and model monitoring to support their scalable deployment

• Research latest ML, DL and GenAI approaches to enable solutions to solve for different vertical teams and also to share the knowledge across the team

• Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers

• Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates.

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.Required Qualifications:

• BTech/Bachelor’s degree

• Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics

• Full time or internship experience in analytics/data science

• 0-3 years relevant work experience

• Excellent analytical and problem-solving skills

• Proficiency in Programming Languages (Python/R), SQL, Excel and other Microsoft Office products

• Intermediate knowledge in machine learning algorithms like Bagging (Decision Trees, RF), Boosting (XGBoost, GBM) , Clustering (KMeans)

• Proven comfort and an intellectual curiosity for working with very large sets of data

• Understanding of probability & statistics

• Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience

• Strong interpersonal skills with a focus on teamwork

Preferred Qualifications:

• MTech/Master’s degree

• Data Science, Business Analytics, Engineering, Technology, Computer Science, , Statistics, Operations Research, Applied Mathematics, Economics

• Knowledge of deep learning/neural networks and experience with NLP/CV

• Exposure to Large Language Models (LLMs), and Agentic application design and frameworks (e.g. Langgraph/Langchain)

• Hands-on ability to use modern AI tools (e.g., LLMs and AI-assisted development tools) to prototype and build products and solutions

• Hands on experience in using AWS/Azure etc

Equal Opportunity Employer
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo.

• All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using Responsibilities
• Work with data scientists and stakeholders to gather and analyze data on United's operations.
• Execute solutions to business problems using data analysis and machine learning tools.
• Deploy solutions leveraging AI-assisted tools and techniques for rapid prototyping and building high-quality solutions.
• Research the latest ML and GenAI approaches to enable solutions for different teams.
• Communicate insights from work streams and deliver presentations to team leaders. Skills
• Proficiency in Python and R programming languages.
• Strong knowledge of SQL and Microsoft Excel.
• Experience with machine learning algorithms such as Bagging, Boosting, and Clustering.
• Understanding of probability and statistics. Education
• A bachelor's degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, or Economics is required.