McKinsey & Company

Position Title/Short Description

Full Text of JOE Listing:

McKinsey – Data Scientist

Who You'll Worth With

You will be joining the People Analytics team in our Organization practice.

OrgSolutions combines innovative design technology and advanced analytics with deep expertise to help our clients make effective organizational decisions. OrgSolutions can help Human Resources and business leaders to make smarter organizational decisions by leveraging advanced data analytics, user-centered design technology and proven methodologies. These approaches help clients to answer critical questions related to cost reduction, efficiency and effectiveness streamlining, merger plans, divestments and carve outs, and talent deployment.

In creating asset-enabled practices, McKinsey is driving innovation in how we serve clients with analytics and design thinking. To learn more, please go to https://www.mckinsey.com/solutions/orgsolutions/overview/people-analytics

What You'll Do

You will analyze and evaluate a wide range of data, including data from human resources information systems, business metrics, and survey assessments.
Leveraging your advanced data analysis skills, you will create innovative approaches to answer our clients’ most relevant talent questions. You will be working on a variety of problems across many different industries, such as a top-tier professional services company trying to improve the efficiency of their recruiting pipeline, an insurance company facing high, inexplicable attrition, and a major pharmaceutical company in need of a roadmap to better understand their future talent needs.

You will work with clients and our team to translate clients’ questions into analytical problems, manage the entire data cleaning pipeline, apply machine learning algorithms and data visualization techniques, generate insights, and communicate them back to clients. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

Qualifications

• Advanced degree in a quantitative field like Economics, Statistics, Engineering, or a quantitative social science; PhD degree is a strong plus
• Strong academic qualifications, including advanced understanding/coursework in Math (Linear Algebra, Calculus), and Statistics
• Advanced knowledge of statistical techniques and machine learning (generalized linear models, regularized regression, decision trees/random forests, clustering, etc.)
• Proficiency in R and/or Python; additional knowledge of other statistical software (Stata, SAS, Matlab, etc.) helpful
• Experience in visualization tools (e.g., Tableau, R Shiny) advantageous
• Experience in analytics applied to the Human Resources domain a strong plus
• Skills to communicate complex ideas effectively

We could also consider part time / intern options if preferred.