2018 Summer Internship/JA Program - Data Science

Job Locations 6 days ago(2/14/2018 12:04 PM)
Requisition ID
2018-16897
Posted Date
Internship
Category
32 Avenue of Americas

Overview

Why should you apply?

 

Innovation happens here! You will learn from and work with the best and brightest in the industry on some of the most distinguished brands in the world (client roster here). Gain real world advertising experience, while positioning yourself as an integral part of a team driving innovation in an ever-changing global market.

 

Oh, and just in case you’re looking for a great new spot to take a selfie in the city, we have a pretty cool office and a terrace that happens to be one of the most Instagrammed spots in NYC.

 

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 established and dynamic marketing analytics capabilities.

For this role, we are looking for someone who is interested in the application of practical and theoretical advanced statistic and econometric methodologies. Candidates should be intellectually curious with a passion for learning while simultaneously a pragmatic self-starter

Responsibilities

  • Operate 'in-the-weeds' on client analytics engagements, executing the below within Python and/or R:
    • Cleanse, compile, and process data
    • Executing statistical/econometric frameworks
    • Under direction of Manager/AD, develop custom analytical tools for ongoing media optimization
  • Assist in discovery of new analytics solutions, collaborate on roadmaps for tool development, and execute tool build
  • Interface directly with media team on interpretation of analytics outputs and how to implement results

Qualifications

  • Current junior or senior in college majoring in business, marketing, communications, advertising, public relations, or related field.
  • Must be able to work 40 hours/week during regular business hours throughout the 10-week Internship Program.
  • Bachelor’s Degree in a quantitative field
  • Understanding of econometric and statistical frameworks, including but not limited to:
    • Machine learning methodologies including: multivariate linear regression, logistic regression, Bayesian networks, clustering, etc.
  • Previous internship experience or qualified data science boot camp highly desired
  • Possess the ability to receive direction, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
  • Strong interpersonal skills or the demonstrated desire to develop client management ability
  • Ability to communicate analyses, requirements, and deliverables effectively with mangers and primary stakeholders
  • Functional working knowledge of Python and/or R (e.g., can process data and run statistical analyses)
  • Advanced Excel and PowerPoint

 

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