Online Application
McKinsey Solutions - Org Solutions - Data Scientist - North America - Waltham
Who you’ll work with

McKinsey Solutions is seeking a Data Scientist to join the Organizational Solutions - People Analytics team in Waltham, MA. We are a new start-up embedded within the McKinsey Solutions portfolio of software and services, and we are looking to expand our team of Data Scientists.

What you’ll do

People Analytics is an analytics solution provider geared towards just that – People Analytics. We leverage the latest in technology, computer science, mathematics and psychology, to shed light on one the toughest challenges business leaders face today, Talent Management. Our focus is creating scalable and sustainable solutions that arm organizations with insights across all aspects of the talent management lifecycle. 

Data Scientists are creative problem solvers who love all things data. They spend their spare time thinking of new ways to collect, blend, model, and cluster dramatically different data types to find interesting and useful analysis. New modelling challenges get them out of bed every morning. For you it’s not just about the data itself, but what the information means and represents. You have specific tools and techniques you prefer but you love to investigate new modelling and clustering techniques as well. Preferably you have experience building enterprise grade solutions but smart, curious, organized, and passionate about the data modelling process are far more important. You understand that your analysis is the backbone of our organization and the heart of our value our clients. Our ability to perform rests squarely on your shoulders. 
 

Qualifications
We are looking for people with:
  • University degree, ideally Masters or higher, in statistics, mathematics, information systems, social informatics, measurement and metrics, economic analysis, or other disciplines for which quantitative methods are an important part
  • 2 -3 years of experience 
  • Experience in multivariate statistical procedures (multiple regression, MANOVA, factor analysis, etc.) and machine learning methods (Random Forest, bootstrapping, etc.). Competence in writing code and running programs in R
Do you speak People? 

Our mission is to bring insights to the full spectrum of challenges being addressed by Human Resource organizations today, so naturally the data we collect is about People. This makes experience with People data extremely valuable but not critical. We can teach you this if you have a passion to learn. 

A history of honesty and integrity - For us, client confidentiality is paramount. Our clients trust us with some of their most valuable information and our ability to maintain this trust has allowed us to grow at an unprecedented pace. 

Passion for travel and new places – This role is based in Waltham, but our leadership team is global. Our clients are global as well. You will be based in Waltham, with the ability to travel abroad when necessary. Sometimes this can be demanding, we know, but we believe face-to-face always works best. 

Drive to build something BIG – This is an opportunity to build something and you should want to be a part of it. Turns out building is not a 9 to 5. Very few innovative things are.


Serious when it counts - It is a business after all. 

Genuinely someone we can hang out with - We have a great team with many different types of people, from all different backgrounds. We spend a lot of time together working and playing. Those two aren’t mutually exclusive. This bond is important to us because it is the essence of our culture. 


McKinsey Solutions (MSO) is a fast-growing group within McKinsey that leverages 85 years of McKinsey industry and functional expertise with data, proprietary analytics, and software tools. Having developed and deployed some 15 solutions to more than 400 companies over the last years, MSO continues to grow and now numbers more than 700 full-time professionals. Click here for an overview of MSO : http://www.mckinseysolutions.com
 

What to Expect


If you want to know what kind of questions we ask in the application, you can find out here.

Questions

Please review our frequently asked questions here.

If you are still unable to find the answer you are looking for click here to email our online application support team.