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A global consulting firm is looking for a Data Science Manager in Hamburg to lead projects in marketing measurement and manage a team of data experts. Candidates should have a Master’s degree and over 4 years of experience in data-driven marketing solutions. The role involves collaboration with various teams and engaging with clients at the executive level. Attractive benefits and career development opportunities are provided.
Who we are
Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.
Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI.
Our 1500+ employees operate in 20 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal and Sanofi.
As a Data Science Manager specializing in the marketing domain, you will lead a team of data experts, drive cutting-edge projects in marketing measurement—such as Marketing Mix Modeling, Incrementality Testing, and Attribution Studies—and help our clients transform their businesses through data:
In this role, you will also be responsible for:
We are looking for someone with:
Artefact is growing fast, and this is the perfect opportunity to join our dynamic team and contribute to our continued success.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.