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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