Analyst, Predictive Modelling, Statistics & ML - GAMMA в BCG

Analyst, Predictive Modelling, Statistics & ML - GAMMA в BCG

Job Responsibilities

Work with case teams

  • Design data bases and provide customized (statistical) analyses for client work
  • Prepare accurate, well developed and tested models and develop analytical tools
  • Conduct tests on the deliverables and create testing documentation
  • Collaborate with case teams to identify and accurately address client needs
  • Perform quality assurance according to standards and guidelines for client projects
  • Work on site or remote with case teams and clients
  • Work as an individual contributor directly with a case team or as a team member in larger case team settings 

Provide training, assistance and support to clients

  • Provide quick-response support to case teams on subject matter expertise
  • Deliver highest-quality work both within team and to case teams / clients
  • Train clients, consultants and team members on the use of data tools and methods 


  • Perform internal team projects and duties as required
  • Travel depending on project requirements

Basic Job Requirements

Education & Experience:

  • Undergraduate degree related to data science, statistics, machine learning, mathematics, computer science, engineering or economics is required, advanced degree is preferred
  • 1-2+ years of industry experience focused on statistics & machine learning or related areas
  • Analytical expertise, including the ability to synthesize complex data, effectively manage complex analyses, technical understanding of system capabilities and constraints
  • Previous experience working on applied artificial intelligence, internet of things analytics, real time decisions systems, customer omnichannel strategy in a global organization or professional services company is preferred
  • Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred
  • Fluent written and spoken English (other languages desirable)

Key Competencies

Professional capabilities

  • Problem solving, communication, interpersonal and teaming skills​Ability to effectively handle difficult and stressful situations with poise, tact and patience
  • Ability to anticipate, identify, and solve critical problems
  • Excellent interpersonal and communication skills
  • Ability and willingness to give and receive honest, balanced feedback
  • Ability to act as thought partner and expert with stakeholders at different levels
  • ​Work management, organization and planning​Excellent organizational skills, attention to detail, efficient time management
  • Proactive communication of issues, priorities and objectives
  • Ability to thrive in a dynamic, fast-paced, demanding environment
  • ​Customer and business focusStrong collaborative skills and ability to adjust approach to effectively interact with clients
  • Focus on excellent client service and close attention to client needs
  • Values and ethicsDemonstrates competence and character that inspires trust
  • Flexible, self-motivated, and proactive out-of-the-box and critical thinker
  • Able to respect all BCG and client information as personal and confidential 
  • Technical expertiseExperience in data modelling and statistics tools and methods:​Data modelling (variable transformation & summarization, algorithm development, ...)
  • Statistical methods (regression analysis, factor analysis, decision trees etc.)
  • Experience with R, Python
  • Experience with SPSS, Alteryx, SAS preferred
  • Machine learning algorithms (NLP, deep learning etc.)
  • Survey Analytics (Conjoint analysis, MaxDiff, etc.) preferred
  • Experience with Sawtooth, Dataiku, Clarabridge, Mahout preferred
  • ​Experience in core data visualization tasks and tools (one or more of the following):​Design visually compelling reports
  • Build interactive dashboards and data exploration tools
  • Experience with Tableau, QlikView, R shiny, D3 or other visualisation tools
  • ​Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA
  • Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata  


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