• Associate Data Scientist

    Job Locations 2 weeks ago(5/8/2018 1:35 PM)
    Requisition ID
    Posted Date
    Advanced Analytics
    32 Avenue of Americas
  • Overview

    Team Write-Up:


    The primary focus of 360i’s Data Science team is to devise elegant yet simple, actionable solutions to drive our clients' business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance 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 statistic and econometric methodologies in both theory and practice. Candidates should be simultaneously intellectually curious and pragmatic self-starters who see projects through to completion.


    • Operate 'in-the-weeds' on client analytics engagements, executing the below under direction of Manager/Associate Director:
      • Cleanse, compile and process client data
      • Execute appropriate statistical/econometric frameworks
      • Develop custom analytical tools for ongoing media insights & optimization
    • Participate in stakeholder interview process and internal brainstorm sessions for each client project, framing prospective analytics solutions through appropriate lens
    • Actively participate in and contribute to team-wide learning and development agenda
    • Assist with research into/discovery of new analytics methodologies, outline roadmap for tool development, and execute tool build
    • Interface directly with internal stakeholders and clients to guide interpretation of analytics outputs and how to implement results


    • Bachelors Degree in a quantitative field or proof of relevant bootcamp completion
    • Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
      • Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib
      • R: pylr, data.table, lme4, shiny
    • Functional working proficiency with Git (GitHub & BitBucket/SourceTree)
    • Fundamental knowledge of relational databases and the cloud
    • Exposure to and understanding of several key econometric and statistical frameworks:
      • Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, 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
    • Experience with marketing response models and their applications a plus
    • 1+ year working experience in analytics or other consultancy a plus


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