Data Science Manager

Grupa dentsu is a global marketing communications network consisting of brands including Carat, iProspect, Amplifi, dentsu X, and Dentsu Creative. It operates worldwide with headquarters in Tokyo and over 65,000 experts across Japan, America, EMEA, and APAC. dentsu Polska's Data Science & Data Engineering team focuses on developing analytics services for marketing, media, and marketing effectiveness.

• Minimum 5 years experience in Data Science, Advanced Analytics, AI/ML, or related area.
• Experience managing analytical or Data Science teams, including mentoring, competency development, recruitment, delivery quality, and project support.
• Strong knowledge of statistics, Machine Learning, data modeling, and analytical methods used in business and marketing projects.
• Practical experience with Marketing Effectiveness, MMM, attribution, predictive modeling, forecasting, experiments, simulations, business scenarios, or advanced marketing analytics.
• Strong skills in SQL and Python, with experience handling large datasets and modern data platforms/cloud environments such as Azure, Databricks, GCP, or similar.
• Experience in developing analytical products, AI solutions, or reusable frameworks based on modern data platforms emphasizing scalability, reusability, and business value.
• Experience working with clients in business development, discovery, tenders, or solution design including scope definition, estimation, pricing, business cases, and recommended delivery models.
• Understanding of commercial aspects of agency projects including budgeting, costs, profitability, team utilization, and revenue impact.
• Skills in creating data-driven presentations, offer materials, storylines, and recommendations.
• Excellent communication skills and ability to conduct partnership discussions with clients, senior stakeholders, project teams, vendors, and technology partners.
• Independence, maturity in decision-making, ability to work with incomplete briefs, and capability to set clear direction.
• Very good command of English.

• Lead and coordinate Data Science / Advanced Analytics projects for marketing clients, ensuring quality, scope, schedule, communication, and final recommendations.
• Develop scalable data products, reusable analytics assets, and AI solutions based on Data Platform with emphasis on reusability, quality, business value, and applicability across projects.
• Develop and commercialize Data Science offerings, supporting business development, discovery, tenders, solution design, estimations, pricing, business cases, and delivery models.
• Manage commercial aspects of projects including scope, costs, revenue, profitability, team utilization, and adherence to collaboration models.
• Develop the Data Science team through mentoring, feedback, development planning, recruitment, onboarding, and retention.
• Provide hands-on support during peak workload, overlapping projects, or senior-level reviews, maintaining methodological quality, documentation, reusability, and analytical consistency.
• Collaborate with Data Engineering, Analytics, Strategy, Client Service, New Business teams, international teams, and vendors in designing and implementing data-based solutions.
• Create presentations, storylines, offer materials, recommendations, and expert materials for clients and internal stakeholders.
• Promote dentsu Data Science's expert position by participating in conferences, webinars, publications, industry talks, and internal initiatives.