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Data Scientist

3 weeks ago

Gurgaon, India United Airlines Inc. Full time

United's Digital Technology team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics and digital solutions.

**Our Values**: At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers and everyone we serve and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.

With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.

**Job overview and responsibilities**

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 in developing smart and innovative solutions across many of United’s departments.
- Working on projects in partnership with business teams to identify opportunities for improvement, gather and analyze information and data, develop improvements and innovations
- Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers/stakeholders
- Scope, size and plan DS project roadmaps with clear milestones, metrics and identify potential derailment factors. Drive end-to-end execution from incubation to production.
- Deliver high quality AI/ML solutions and maintain proper documentation to foster seamless workflows and code-reusability principles.
- Performing regular technical coordination/reviews with stake holders and ensuring timely reporting and escalations if any
- Propose and develop innovative solution approaches based on scientific research or empirical studies

**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.**

**Required**
- BTech/Bachelor’s degree
- Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Full time 4-7 years relevant work experience in analytics/data science
- Proficiency with mathematics and statistical analysis with significant hands-on experience in AI / Data Science.
- Proficiency in Programming Languages (Python), SQL
- Knowledge in exploratory analysis, predictive modeling, prescriptive modeling, strong understanding of machine learning algorithms like Regression, Bagging (Decision Trees, RF), Boosting (XGBoost, GBM), Clustering (KMeans),
- Hands on experience of working with deep learning models and programming frameworks like TensorFlow, PyTorch etc.
- Sound understanding in AWS services including Sagemaker, Redshift, Athena, S3 & AWS data lake.
- Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience
- Ability to work collaboratively with a variety of business, data science and technical stakeholders.

**Preferred**
- MTech/Master’s degree
- Data Science, Business Analytics, Engineering, Technology, Computer Science, Statistics, Operations Research, Applied Mathematics, Economics
- Experience in developing & deploying the end-to-end data science pipeline into production

**Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT