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Data Engineer - Wix Marketing High Tech Jobs

952 found
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Marketing Data Scientist gTech Professional Services

Marketing Data Scientist gTech Professional Services

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Google

Marketing Data Scientist gTech Professional Services

Israel, Tel Aviv
Details
Qualifications

Minimum qualifications:

  • Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.
  • Programming experience in Python and/or R.
  • Experience in Quantitative Analytics, with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, optimization, and predictive analytics.

Preferred qualifications:

  • PhD in Statistics, Computer Science, Engineering, or Mathematics, or equivalent practical experience.
  • Experience with analytic software tools such as SQL, R, SAS, SPLUS, and Eviews.
  • Experience using/deploying digital analytics and measurement solutions, and with SQL and big data.
  • Experience in a customer industry including: retail, financial services/retail banking, insurance, telecommunications, automotive, and consumer packaged goods (CPG).
  • Understanding of media (paid, owned, and earned), as well as of the statistical algorithms typically used in Marketing Analytics.
About the job

As a Data Scientist, you will work closely with our customers and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment, and prediction.

To learn more about gTech, check out our .

Responsibilities
  • Support customer engagements with data science solutions including Media Mix Modeling and propensity modeling, as well as accurate predictions of future activities through the use of Machine Learning with Deep Neural Networks.
  • Support critical aspects of customer engagements in marketing effectiveness and marketing portfolio management through the use of data science and statistics.
  • Deliver positive incremental change specifically with Google Analytics, 360 suite attribution, and analytic solutions.
  • Translate, simplify, and communicate with business stakeholders using models in the simplest and most practical ways to improve business and other metrics.
  • Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
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