Requirements

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R), querying databases (e.g., SQL), or statistical analysis.
• Experience in cross-functional program/project management, operational process execution, vendor team management, operations hubs, or distributed operational workflows.

Nice to Haves

• 2 years of experience delivering insights from machine learning to customers, including problem scoping/definition, modeling, and interpretation.
• 2 years of experience using or deploying digital analytics and measurement solutions.
• Experience forecasting demand or volume in operations, contact centers, workforce management, or supply chain contexts; familiarity with support operations metrics (SLA, AHT, Shrinkage) and capacity planning and staffing methodologies (e.g., Erlang C).
• Proficiency in Computer Vision and NLP in marketing analytics and the ability to apply generative AI technologies to customer marketing issues.
• Understanding of statistical algorithms typically used in Marketing Analytics.

What You'll Be Doing

• Lead data science aspects of client engagements related to marketing effectiveness and marketing portfolio management with expertise in machine learning and statistics.
• Collaborate with customers to define issues, select appropriate statistical techniques, and develop modeling frameworks.
• Engage stakeholders to assess data and model readiness, scaling proof-of-concept solutions to production-ready implementations.
• Translate data and model results into tactical, actionable insights for decision-making and co-present recommendations to clients.
• Collaborate with Product and Engineering teams to enhance the Applied Data Scientist team's capabilities and drive innovation and scalability.

Perks and Benefits

• Competitive salary in the range of €126,000 - €129,000 (EUR) in the Netherlands.
• 15% bonus target.
• Equity grants.
• Comprehensive benefits package.
• Opportunity to work on impactful projects supporting large and complex advertisers globally.