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Director of Data Science

Boston, MA, USA | Analysis Group

  • Industry:
    Management Consulting
  • Position Type:
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
Job Description:
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The Director of Data Science contributes to both client engagements and to the design and development of internal data science tools and infrastructure. The client work is diverse, utilizing a wide variety of complex and novel data sources, and supporting cases across industries including: finance, healthcare, antitrust, intellectual property, energy, and technology. The tool and infrastructure work assists the firm in developing cutting-edge data science and high-performance computing techniques for common business challenges.

The Director of Data Science helps Analysis Group in maintaining our leadership position in terms of advancing methodology and data computations, and works to increase Data Science knowledge within the firm, both through mentorship to more junior Data Science team members and via interactions with Consulting teams. The Director also is involved in recruiting, assisting in building out the team over time.

Essential Job Functions and Responsibilities:

Work with project teams to creatively address data science/computing challenges

Take initiative to identify opportunities for technology to enhance service offerings

Act as a resource and participate in client engagements and research as part of the project team

Maintain up-to-date knowledge of data science and computing tools, providing technical training and helping to grow the in-house knowledge base

Present research at selected conferences; serving as an expert

Maintain individual contributions while providing mentorship to other data scientists and analysts conducting work such as:

Optimize procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions)

Create interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3)

Build and maintaining high performance computing (HPC) tools on grid and cloud computing environments

Develop and reviewing open source macros and packages in R, Python and other Object Oriented Languages

Establish optimized procedures for repetitive or computationally intensive tasks (C, C++, Cuda-C)

Use natural language processing methodologies to work with EMR data, social media data and other unstructured data

Contribute to team growth/development via assistance with advisorship and recruiting

Contribute to firm’s strategy for data science tools and infrastructure


Track record of using data to solve real-world problems

Experience applying multiple software tools and languages to provide data-driven analytical solutions to decision makers or research teams

Strong credentials and experience in database management and data visualization

PhD or advanced degree in computer science or data science-related field, with relevant experience. Other candidates with at least three years of relevant experience in the field will also be considered

Background in Statistics/Econometrics or Biostatistics

Extensive experience in programming languages like Python, C++, Java

Knowledge of R, Shiny and SQL

Familiar with online/cloud computing/storage (e.g., AWS)

Linux and basic system administration experience

Demonstrated experience working on project teams and collaborating with others

Strong communication skills

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