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United AirlinesVia Unstop

Posted today

Associate Data Scientist

Pay

Salary (undisclosed)

Location

Gurgaon, India

On site

Apply by

9 Nov

13 days left

Skills this role screens for

PythonMachine learning conceptsSQLStatistical modelingK-means clustering

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About the role

United Airlines is hiring for the role of Associate Data Scientist!

The work

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

Who they want

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

Where this listing comes from

From a public listing board (Unstop).

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