Data Science & Machine Learning Job Alerts At United Airlines – Apply Soon!

• Bachelor’s degree required
• Master’s Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred
• At least 2+ years of experience in modeling/ machine learning required
• Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling
• Strong knowledge of either R or Python
• Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships
• Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required
• Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL
• Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus
• Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner
• Exhibit written and spoken English fluency
• About 4-6 weeks of travel to US in a year required
• Must be legally authorized to work in India for any employer without sponsorship
• Must be fluent in English (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position.

Job Overview and Responsibilities:

The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role.

The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include:

• Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques
• Continuously develop and demonstrate improved analysis methodologies
• You will have strong modelling skills and are comfortable owning data and working from concept through to execution
• Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question