Magnet.me  -  Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

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Marketing Data Scientist, Global Premium Services, gTech

Geplaatst 22 mrt. 2024
Werkervaring
0 tot 2 jaar
Full-time / part-time
Full-time
Functie
Soort opleiding
Taalvereiste
Engels (Vloeiend)

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Minimum qualifications:

  • Master's degree in Engineering, Statistics, Mathematics, Economics or an Applied Science, or equivalent practical experience.
  • Programming experience in Python and/or R.
  • Quantitative analytics experience, with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, optimization and predictive analytics.

Preferred qualifications:

  • SQL and Big Data experience.
  • Experience in delivering bespoke analytics to stakeholders (e.g., problem scoping/definition, modeling, interpretation, presentation).
  • Experience using and/or deploying digital analytics and measurement solutions.
  • Understanding of media (i.e. paid, owned and earned).
  • Knowledge of statistical programming languages (R/Python/TensorFlow).
  • Ability to visualize models and results. Ability to debug and troubleshoot code and models.

About the job

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

As a Data Scientist, you'll work closely with our clients and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment, and prediction. The Global Premium Services team is a solution-generating team that helps our Sales teams and advertisers. These solutions need to be scalable to support millions of customers worldwide. In addition to troubleshooting on the customer side, we work with Sales, Product and Engineering teams within Google to develop better tools and services to improve our products based on the evolving needs of our users. As a cross-functional and global team, it's our job to help keep the lights on and the ads relevant.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of solution-oriented trusted advisors support millions of customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

  • Lead analytics aspects of client engagements for marketing effectiveness and marketing portfolio management, using deep modeling knowledge.
  • Work with clients to align Google Analytics 360 suite attribution and analytic solutions with key organizational challenges. Develop value-based roadmaps to solve client business challenges on a continuous and repeatable basis.
  • Collaborate with clients to build an end-to-end Machine Learning framework. Engage stakeholders, assess data readiness, and scale a proof of concept to a larger solution.
  • Work with client/internal teams to translate data and model results into strategic insights that are clear, accurate, relevant, understandable and applicable to clients' decision making and needs. Co-present to and work with clients to integrate recommendations into business processes.
  • Collaborate with Product/Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, helping to drive innovation.

Though Google has grown a lot since it opened in 1998, we still maintain a small company feel. At lunchtime, almost everyone eats in the office café, sitting at whatever table has an opening and enjoying conversations with Googlers from different teams. Our commitment to innovation depends on everyone being comfortable sharing ideas and opinions. Every employee is a hands-on…


Though Google has grown a lot since it opened in 1998, we still maintain a small company feel. At lunchtime, almost everyone eats in the office café, sitting at whatever table has an opening and enjoying conversations with Googlers from different teams. Our commitment to innovation depends on everyone being comfortable sharing ideas and opinions. Every employee is a hands-on contributor, and everyone wears several hats. Because we believe that each Googler is an equally important part of our success, no one hesitates to pose questions directly to anyone, at any level, in the company.

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