Data Scientist

Short Description

McKinsey is hiring a Data Scientist who has the ability to easily understand the complex algorithm and logic to process data.

Job Description

  • University student in their final year in a STEM-related field (Ops Research, Statistics, Applied Math, Engineering, Business Analytics) with expected graduation date of December 2019 or Summer 2020
  • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
  • Ability to easily understand the complex algorithm and logic to process data
  • Practitioner of statistical data quality procedures or test-driven approach for quality assurance
  • Excellent communication and presentation skills with an ability to visualize and report insights creatively in a variety of formats to various stakeholders
  • Team player with a passion for coaching colleagues and clients
  • Or, currently completing your first year in a non-business, 2-year masters program and have less than 2 years of work experience
  • Experience in one or more programming languages (R, Python, C++, etc.)
  • Experience working with a large volume of data with the ability to solve performance issues

Data Scientist
Mid-Senior-level Information Technology | Technology | Information Full-time Engineering | Other | Information Technology Data Scientist
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.