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Principal Data Scientist - Paid Media

New York
Negotiable
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Principal Data Scientist - Paid Media
Internet
New York, NY
$160,000 - $170,000 + Benefits + Equity

Are you passionate about joining an innovative company that has a strong presence in major cities across America? A well-funded Tech startup is looking for an experienced Principal Data Scientist - Paid Media to spearhead the successful Audience Modeling to drive business growth in New York.

THE ROLE:

As Principal Data Scientist - Paid Media, you will be the Advanced Analytics Lead in owning the tracking, measurement, and modeling of acquisition, attribution, and campaign performance across different marketing channels to improve marketing effectiveness. You will be responsible for:

  • Collecting & cleaning large amounts of customer data using SQL and Google Analytics
  • Building predictive models using Python and/or R (i.e., MMM, MTA, Propensity, Lookalike)
  • Building dashboards using Databricks, Looker, Power BI, or Tableau for senior management
  • Serving as a key Order Attribution & Predictive Analytics advisor to various stakeholders

YOUR SKILLS & EXPERIENCE:

  • Progressive Order Attribution & Predictive Analytics experience in eCommerce or tech
  • Proven experience with Media Buying, Multi-Touch Attribution, and Media Mix Modeling
  • Strong Digital Analytics skills in Google Analytics and Google Tag Manager
  • Proficiency with Advanced Analytics tools such as Python, R, and SQL
  • Strong dashboarding & reporting skills using Databricks, Looker, Power BI, or Tableau
  • Proven commercial experience handling Paid, Search, Social, Display, and Affiliate data
  • Strong verbal/written communication and presentation skills across the business
  • Bachelor's degree in Computer Science, Mathematics, Statistics or related, Master's preferred

BENEFITS:

As Principal Data Scientist - Paid Media, you can make up to a $170,000 base (depending on experience).

HOW TO APPLY:

Please register your interest by sending your resume to George Little via the apply link on this page.

KEYWORDS:

Propensity Modeling, Order Attribution, Multi-Touch Attribution (MTA), Media Mix Modeling, Market Mix Modeling (MMM), Python, R, SQL, Databricks, Tableau, Looker, Power BI, Google Analytics, Google Tag Manager, Data Science, Performance Marketing, Media Buying, Audience Modeling, Lookalike Modeling, Audience Purchasing, Paid Search, Paid Marketing

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