United Airlines is hiring for the positions of Associate – Data Scientist in Gurugram, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | United Airlines |
| Position | Associate – Data Scientist |
| Qualifications | Bachelor’s Degree |
| Experience | 0 – 3 (Years) |
| Location | Gurugram, India |
Key Responsibilities:
- Collaborate with fellow data scientists and cross-functional stakeholders, including IT, Data Engineering, and business teams, to design and deliver high-quality analytical and machine learning models.
- Collect, analyze, and interpret data across United’s operational domains to generate fact-based, data-driven recommendations.
- Develop and implement solutions to business problems using data analysis, machine learning, and optimization techniques.
- Enable and manage data transfers across platforms, and monitor model performance to support scalable and reliable deployments.
- Research emerging machine learning methodologies and technologies, and share knowledge and best practices across the team.
- Clearly structure and communicate insights from multiple workstreams through professional presentations and reports to team members, leaders, and managers.
- Partner with data engineering and operations teams to support business stakeholders with regular project updates and operational insights.
Eligibility Criteria:
- Bachelor’s degree in Engineering, Technology, Computer Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Economics, or a related field.
- 0 to 3 years of relevant professional experience.
- Strong analytical and problem-solving skills with the ability to work with complex datasets.
- Proficiency in programming languages such as Python or R, along with strong skills in SQL, Excel, and other Microsoft Office applications.
- Intermediate understanding of machine learning techniques, including bagging methods (Decision Trees, Random Forest), boosting algorithms (XGBoost, Gradient Boosting), and clustering techniques (K-Means).
- Demonstrated intellectual curiosity and comfort working with very large and complex datasets.
- Solid understanding of probability and statistical concepts.
- Ability to connect business context with technical solutions, and clearly explain statistical and machine learning concepts to non-technical stakeholders.
- Strong interpersonal and collaboration skills with a team-oriented mindset.
Preferred Qualifications:
- Knowledge of deep learning and neural network architectures, with exposure to Natural Language Processing (NLP) and Computer Vision (CV).
- Hands-on experience with cloud platforms such as AWS or Azure.
About Company:
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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