Details
Posted: 11-Mar-22
Location: Atlanta, Georgia
Type: Full Time
Required Education: Masters
Categories:
Industrial - Analytics
Industrial - Operations Research
Industrial Engineering
Work Function:
Decision Analysis/Science
Delta Air Lines connects the world by flying 180 million customers to 300+ destinations every year. At Operations Decision Science (ODS), we build and deploy data science and predictive modeling tools to support this complex operation. ODS currently seeks a scientist to develop insights, machine learning models, and solutions aimed at continually improving airline performance and decision making. Join our team to make a real-world impact by developing analytical solutions to deliver the best air travel experiences.
An appropriate candidate will have good technical knowledge of operations research optimization models, simulation models, and core data science/data engineering skillset. The candidate should have excellent organizational and communication skills and feel comfortable in a fast-paced environment. The role will support the delivery of decision support applications based on optimization models and data science.
Primary Functions:
Design, develop, implement, and calibrate optimization products
Build complex data sets from multiple data sources, both internally and externally
Partner with Information Technology to optimize and enhance the database environment for optimal efficiency and best practices
Provide technical leadership to Delta's business units
Leverage emerging technologies and identify efficient and meaningful ways to disseminate data and analysis to satisfy the business’ needs
Lead complex process improvement and project management engagements for both individual business units and cross-divisional initiatives
Interface with business unit leaders to develop and maintain internal customer relationships
Practices safety-conscious environment resulting in employee safety and well-being
Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience
Working knowledge in multiple optimization methods (LP, MILP, QCP, MIQP, CP etc.)
Working knowledge in commercial optimization solvers (Gurobi, Cplex, GLPK, etc.)
Working knowledge in model tuning/calibration
Proficiency in working with relational databases and query authoring (SQL)
Proficiency in Python, C++ or other programming languages
Experience in fine tuning and model calibration is preferred
Working knowledge of GIT, Linux/Unix and Bash/Shell scripting is preferred
Working knowledge of statistical/machine learning tools (e.g., SAS, R, TensorFlow) preferred
Strong written, oral communication, and interpersonal skills
Strong project management, organizational, and prioritization skills
Must be performing satisfactorily in present position