* MS/PhD in Computer Science, Operations Research, Mathematics, Statistics or related subject * 3-10 years of experience in modeling and simulation - areas of experience can include monte-carlo methods, discrete event simulation, agent-based models, system dynamics, information flow systems, manufacturing and operations simulations, passenger/people/transport traffic simulation * Programming languages such as SQL, Python, Java, R, MATLAB highly preferred * Experience with simulation packages such as AnyLogic, ExtendSim, Arena, MATSIM, VISSIM, SUMO, Vensim * Experience working with aviation, travel, hospitality, transportation/ transit or distribution/ logistics industry and associated datasets and solutions or technology stack * Fluency and ease in basic data manipulation, exploratory analysis and data engineering (e.g., feature creation, parameter estimation)
Who You'll Work With
You'll work in one of our North American offices as part of our Travel Transport & Logistics practice and be close to our firm-wide analytics teams.
Our Travel Transport & Logistics practice works with clients in the travel and tourism space as well as freight and passenger transportation sectors - be it via ocean, air, roads, rail. The majority of our clients are airlines, airports, hotels, cruise lines, rental car providers, tour operators, railways, urban transit operators, postal, parcel and express services, trucking companies, port operators, shipping lines, and others in the distribution value chain.
What You'll Do
You'll work closely with senior client stakeholders on challenging problems and aiding strategic decision-making using analytics, modeling/simulation, and optimization.
You will apply innovative thinking, strong technical skills and leverage knowledge from relevant industries and academics.
Additionally, you will plan and execute high-quality methods that are practically grounded and unlock important value for business insights and decision making.
This is a fantastic opportunity to be involved in critical high-impact areas for cutting edge Advanced Analytics and Data Science.
McKinsey & Company is an equal opportunity employer.
Associated topics: data center, data integration, data integrity, data manager, data management, data quality, data warehousing, mongo database, sql, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.