Data Scientist, Public Sector Analytics


  • MSc or PhD in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
  • Experience in statistical modeling and/or machine learning
  • Experience in applying data science methods to business problems
  • Programming experience in at least 2 of the following languages: R, Python, Scala, SQL
  • Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
  • Proven application of advanced analytical and statistical methodologies
  • Knowledge of distributed computing or NoSQL technologies is a bonus
  • US Citizenship Required

Who You'll Work With

You'll work in our Waltham office as part of our Public Sector Practice Analytics team, a part of McKinsey Solutions and McKinsey's New Ventures.

The Public Sector Analytics solution provides expertise for McKinsey's engagements in the public and social sectors. The team builds out analytics solutions to solve problems is five primary areas: corrections and justice operations, tax authority operations, defense and security, education and global public health. We achieve maximum client impact by integrating the best of data science into dashboards and apps to transform and sustain analytics-based ways of working.

McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for –and expands our investment in –our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

As one of the fastest-growing parts of our firm, New Ventures has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and we're hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.

What You'll Do

In this role you will apply your exceptional academic background to develop and apply data science methods to improve and optimize our clients performance needs.

You share our curiosity for new methods and technologies, and our enthusiasm for data science challenges. As such, you will support our client services lead to identify business hypotheses and metrics, and you'll have the opportunity to define and drive the analytical scope and method for projects, including formulating and shaping the models.

You will be expected to communicate complex analytics concepts in a clear and concise manner to business leaders. You will use math, stats and machine learning to derive key insights across various industry sectors including Formula 1, pharma, automotive and high-tech. You will have the chance to write highly optimized code to advance our internal Data Science toolbox, and you'll develop world-class data science products for clients as well as for our data science team.

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