Opportunity brief
United Airlines is hiring for the role of Associate Data Scientist!
Responsibilities of the Candidate:
- 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
Requirements:
- 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