• Associate Director, Data Science

    Job Locations 1 week ago(1 week ago)
    Requisition ID
    2018-18488
    Posted Date
    Advanced Analytics
    Category
    32 Avenue of Americas
  • Overview

    Team Write-Up

    360i Advanced Analytics is about taking complex data to devise elegant yet simple, actionable solutions to our clients' business questions. Our clients see us as trusted advisors and depend on our subject matter expertise to drive enhanced decision making via our deep (and constantly evolving) marketing analytics capabilities.

     

    For this role, we are looking for someone who is deeply interested in the application of advanced statistics and econometric methodologies in both theory and practice. Candidates should be intellectually curious and simultaneously a pragmatic self-starter who sees projects through to completion.

    Responsibilities

     

    • Operate as subject matter expert on advanced econometric and statistical frameworks
    • Drive discovery of new opportunities in analytics, introducing new and vetting current methodologies on an ongoing basis
    • Lead analytics client engagements from start-to-finish, including:
      • Stakeholder interviews/fact-finding to uncover client issues
      • Develop client solution, managing project timeline throughout, escalating potential roadblocks when necessary
      • Direct Analysts on analytical approach, execute directly if needed
      • Deliver final presentation of results to client, follow-up when appropriate
    • Develop/propose/test optimal statistical frameworks to solve complex client questions
    • Manage and mentor data scientists to ensure career development and team building

    Qualifications

    • Bachelor or Postgrad Degree or higher in a quantitative field
    • Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
      • Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib, Bokeh, Seaborn, Flask
      • R: pylr, data.table, lme4, shiny, tidyverse, ggplot2, broad exposure to ML/NLP libraries
    • Functional working proficiency with Git (GitHub & BitBucket/SourceTree)
    • Experience with or exposure to Big Data tools, such as Spark and Hive/Hadoop, and MPP databases such as Redshift or BigQuery
    • Exposure to and understanding of several key econometric and statistical frameworks:
      • Linear Regression, Logistic Regression, ARIMA, Kalman Filter, Decision Trees, Random Forest, Factor Analysis, KNN, K-Means, etc.
    • Possess the ability to receive direction, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
    • The demonstrated ability to translate complex processes into client-friendly terms
    • 3-5 years working experience in analytics or other consultancy
    • Expert presentation (Excel, PowerPoint) and communication skills

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