Jobs for People with MS: National MS Society

Description

One of United’s newest departments, Customer Strategy & Innovation (CSI), handles premium services, ground experience, program management, customer analytics and insights, customer service innovation, and more.

The Customer Insights and Analytics team within the CSI department collaborates with various Hubs (airports) and product teams (such as Check-in, Gate & Boarding, Inflight, F&B, etc.). Our goal is to amplify customers' voices and understand their choices and behavior to influence business strategies and maximize United’s return on customer experience investments. We analyze United’s survey, customer, and operational data to continuously refine our understanding of how customers perceive United.

Our Values: At United Airlines, we believe that inclusion propels innovation and is the foundation of all 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. Join our team and help us positively impact the world.

Job overview and responsibilities

As a Data Scientist 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.

The key objective of this role is to assist other data scientists in building state-of-the-art ML techniques to understand customer behavior and choices (Churn, CLTV, etc.), enhance qualitative (text) data insights, and automate manual processes. This role requires an individual with excellent analytical abilities who can build data pipelines, engineer features, and run models. We seek creative, driven, detail-oriented individuals who enjoy tackling challenging problems with data and insights. High-level responsibilities of the role include:

• Work independently to solve business problems using data mining, analysis, and automation.

• Work with a team of Data scientists and help build Machine Learning models.

• Work with external teams and Data engineering to build and own data pipelines in AWS.

• Build dashboards in PowerBI to track modeling results.

• Prepare presentations summarizing modeling results, provide project updates, and maintain proper documentation

• Communicate with US and India-based internal partners to contribute to analytical support

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.This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

Required

• Bachelor’s degree in engineering or a quantitative discipline like Applied Mathematics, Statistics, or Operations Research.

• Full-time 2+ years’ experience in data science/analytics (DS preferred).

• Highly proficient in Python and SQL and able to write high-performance, industry-grade, scalable code.

• An intellectual curiosity for manipulating and analyzing complex, high-volume, high-dimensional data from various sources to highlight patterns and relationships.

• Proven track record of assisting/developing advanced analytics models.

• Hands-on knowledge of modeling techniques like regression, K-means, time series, etc.

• Ability to work effectively with people at all levels in an organization.

• About 1-2 weeks of travel to the US annually.

• Must be legally authorized to work for any employer without sponsorship in India.

• Must be fluent in English (written and spoken).

• Successful completion of an interview is required to meet job qualifications.

• Reliable, punctual attendance is an essential function of the position.

Preferred

• MBA or master’s degree in data science or in a quantitative field like Math, Statistics, Operations Research

• Understanding of AWS Services, including Sagemaker, Redshift, Athena, S3 & AWS data lake

• Experience in developing & deploying the end-to-end data science pipeline into production

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