Data Scientist- Machine Learning

About the job

Job overview and responsibilities As a Data Scientist- Machine Learning on the Customer Insights & Analytics team, you will influence a multi-phased insights and advanced analytics strategy that supports a continuous cycle of listening, interpreting, driving action, and monitoring customer feedback. High-level responsibilities of the role include: • Work independently and with a team to execute solutions to business problems using data analysis, data mining, automation, statistical modeling, and machine learning techniques. • Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question. • Able to plan a data science project roadmap with clear milestones and metrics. • Maintain proper documentation to foster seamless workflows and code-reusability principles. • Continuously develop and demonstrate improved analysis methodologies. • Prepare presentations summarizing modeling results, provide project updates, and communicate with US and India-based internal stakeholders. Qualifications Required: • Bachelor’s degree in engineering or a quantitative discipline like Applied Mathematics, Statistics, or Operations Research. • Full-time 4+ years’ experience in data science/analytics (DS preferred). • Proven track record of developing advanced analytics models. • Hands-on experience building predictive models, and NLP models like text classification and sentiment analysis. • Highly proficient and recent experience in Python and SQL.

Requirements

• Data Analysis
• Statistical Modeling
• Machine Learning Techniques
• Python
• SQL

Qualifications

• Bachelor’s degree in engineering or a quantitative discipline
• 4+ years’ experience in data science/analytics

Preferred Technologies

• Data Analysis
• Statistical Modeling
• Machine Learning Techniques
• Python
• SQL

Benefits

• Health insurance
• Parental leave
• Space available travel

About the company

United Airlines is committed to connecting people and uniting the world through its extensive route network. They focus on supporting employee growth, wellness, and creating an inclusive environment that drives innovation through diversity. The company emphasizes a collaborative culture and offers a range of employee benefits including health insurance, parental leave, and space available travel.