Online Application
McKinsey Solutions - Navimeter - Data Scientist - NA
Who you’ll work with

You will work with our Navimeter team in Waltham, Massachusetts.  

Navimeter is a new tool that has been developed recently and is an innovative and disruptive proprietary solution - a software platform for port and container terminal clients that combines real-time satellite tracking of commercial vessels with predictive analytics to forecast vessel movements and arrival times in order to support planning of terminal operations. We are now at the point where we will be releasing the first version of the product to multiple clients over this summer, while continuously making improvements to the analytics engine.

Navimeter is part of McKinsey Solutions and McKinsey’s New Ventures - a recently formed part of McKinsey focused on fostering innovations driven by analytics, design thinking, mobile, social and other technologies and integrating them into our client work. It is a foundation for—and expands our investment in—our entrepreneurial culture.


What you’ll do

You will support the continuous improvement of the core predictive engine, as well as work with pilot clients to understand how the tool performs and what value it brings to clients.

You'll leverage your expertise in predictive statistics/machine learning and your experience in implementing predictive models in R or Python, as well as top notch problem solving skills.  You'll own the Solution methodology and IP, and act as a Specialist with clients or McKinsey teams, facilitating the implementation of the Solution.  You'll participate in the definition of the product roadmap and manage the development of the product with the IT teams in charge of the technical product development.

Additionally, you'll be involved in specific client projects involving the building of new, bespoke advanced analytical solutions for clients (in this role, you may be integrated into a broader McKinsey client project team).

  • Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research)
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)
  • 2-7 years of hands-on experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting
  • Experience with geolocation data sets and associated business solutions preferred
  • Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel) 
  • Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
  • Advanced programming skills in at least one of Java, Python, R, C++, C#, etc.
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills
  • Ability to dis-aggregate issues, identify root causes and recommend solutions
  • Ability to independently own database development and decisions, balancing demands and deadlines
  • Distinctive communications skills and ability to communicate technical content in an easy to understand way
  • Strong people skills, team-orientation, and a professional attitude
  • A strong desire to learn and develop, within a dynamic, self-led organization

What to Expect

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