Data Scientist Senior Associate


The Brunswick group

Data Scientist Senior Associate Chicago, IL


Title: Data Scientist Senior Associate

Job Type: Permanent, Full-Time

Primary Location: Major Cities

The Challenge:

Our client, a Fortune 500 Company is seeking a Data Scientist Senior Associate who will work as part of a team of problem solvers with extensive consulting and industry experience, helping clients solve their complex business issues from strategy to execution.

Duties and Responsibilities:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm’s code of ethics and business conduct.

Essential Skills and Requirements:

  • Minimum Degree Required: Bachelor Degree
  • Minimum Years of Experience: 3-5 year(s)
    • Healthcare, Insurance, Financial Services, Customer and Industrial Products and Services, Manufacturing or Telecom Industries
  • Demonstrates thorough knowledge and/or a proven record of success executing various aspects of the business involving information technology-related client engagements and/or projects within a professional services environment, including knowledge of an industry or functional domain and specialization in at least two of the following areas:
    • Operational Research and Statistical techniques;
    • Customer, Product, and Pricing Analysis; or,
    • Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques
  • Demonstrates thorough knowledge and/or a proven record of success working with analytical models and the following technical tools:
    • Visualization techniques and tools;
    • Advanced analytics techniques (regression,simulation, etc.);
    • Applicable sources of external, internal, or new data sources to support analytic methods and visualization techniques; and,
  • Demonstrates thorough abilities and/or a proven record of success participating in consulting-related projects within a professional services environment that utilize creative thinking skills and individual initiative, including the following areas:
    • Analyzing large and complex data sets, including a demonstrated thorough aptitude for conducting quantitative and qualitative analysis;
    • Collaborating and contributing as a team member by understanding personal and team roles, contributing to a positive working environment, building solid relationships with team members, and proactively seeking guidance, clarification and feedback;
    • Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, and communicating potential conflicts to a supervisor;
    • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
    • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance;
    • Understanding how the application of analytical techniques correlate to business values; and
    • Selecting the appropriate analytical techniques for the problem at hand.


Tagged as: Data Scientist Senior Associate