Manager, Data Science, Programming and Visualization - Boston, MA

Our client, a top-tier, global management consulting firm, seeks a Manager of Data Science, Programming and Visualization. The Data Science and Programming team, together with the Data Management team, will be the center of expertise launching a new Analytics Consulting service.

This individual will work closely with consultants and case teams to provide both consultation on subject matter expertise and hands-on support to case teams analytics, focusing on data management, advanced analytics tools, modeling, and visualization, and custom-developed client-facing analytics deliverables.

Successful candidates will possess advanced analytical technical expertise, strong collaborative and execution capabilities, excellent communication skills, a practical and flexible mindset, and high attention to detail and work quality.

The Manager will join a new and growing team with a global presence, and will work with both customers and team members worldwide.

Desired Skills and Experience

  • Undergraduate degree in a field linked to business analytics, statistics, applied mathematics, computer science, IT, computer applications, engineering or related field is required; advanced degree is preferred
  • Minimum of 4-7 years relevant industry experience, or 3+ years consulting experience focused on advanced analytics solutions
  • Previous experience working in a global organization or professional services firm is preferred

Technical experience:

  • Programming and / or scripting experience: Python, VBA, C# preferred
  • Familiarity with a broad base of analytics and visualization tools to include one or more of the following: Tableau; Excel, SQL, Hadoop, Alteryx; SAS, R, RapidMiner, SPSS
  • Experience in core analytics methods, to include one or more of the following: Statistics (t-tests, ANOVA), variable reduction (FA, PCA); Segmentation/clustering techniques; Predictive modeling: e.g. logistic regression, linear regression; Text mining & unstructured data analytics; Simulation: e.g. MC, dynamic, discrete event; Optimization: e.g. linear programming, heuristic