Data Scientist - Statistics

Description

Job overview and responsibilities

A Data Scientist within United's Kinective team will be responsible for development and deployment of machine learning (ML) models and advanced analytics to support United's loyalty program, credit cards business, and growing partner and media businesses. As a team, we focus on leveraging established and cutting-edge tools to measurably improve customer experiences and operational efficiency.

A Data Scientist can expect to work with cross functional teams including business stakeholders, product managers, data engineers, and ML engineers to engage in end-to-end analytic projects: evaluating and scoping projects, exploratory data analysis, feature engineering, model training, model deployment and maintenance, results validation, and communication with stakeholders.

Responsibilities include:

Develop Data Solutions:

• Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles
• Must bring a positive attitude and curiosity

Planning and Execution:

• Can develop an analytical plan/develop hypotheses to test; understands limitations of analysis
• Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
• Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
• Anticipates working team questions to data and approach

Communication:

• Helps create and deliver presentations for United leadership and external stakeholders
• Lead or support status meetings and the frequent communication to key stakeholders at varying levels of United leadership
• Ability to communicate complex concepts in a clear, precise, and actionable manner through written and verbal presentation skills
• Must exhibit written and spoken English fluency

NOTE: This position provides a hybrid work arrangement with approximately 50% of the time spent onsite at our Chicago office location and 50% remotely.

Qualifications

What's needed to succeed (Minimum Qualifications):

• Master's Degree or Bachelor's Degree and 3+ years of professional experience in a relevant field
• Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods
• Coursework or work experience with statistics and/or forecasting techniques
• Coursework or work experience in model training with Python
• Coursework or work experience with R or Python
• Experience with SQL
• Good business, technical, verbal/written communication, presentation and sales skills
• Experience with algorithms like Classification (KMeans, DBSCAN, Gaussian Mixture, etc.), Decision Trees, Random Forest, SVM, Boosting
• Good interpersonal skills and ability to interact with clients
• Successful completion of interview required to meet job qualifications
• Reliable, punctual attendance is an essential function of the position
• Must be legally authorized to work in the United States for any employer without sponsorship

What will help you propel from the pack (Preferred Qualifications):

• Master's degree
• 2+ years of professional experience in analytical field
• 2+ years professional coding experience in Python
• Advanced data manipulation skills in Python or SQL
• Minor in computer science and/or formal advanced computer science coursework preferred
• Knowledge of United/airline industry data sources
• Experience working with GIT or other version control tools
• Experience with project management tools like JIRA
• Demonstrated thought leadership and ability to drive projects that deliver value
• Experience with deep learning architectures
• Experience with Recommender Systems (Collaborative Filtering, Matrix Factorization, FPMC, FISM)
• Experience with casual inference and uplift models
• Experience with graph data