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Data Scientist (Media Effectiveness)

Data Engineer • On-site • Full-time • 📍 Budapest

DEPT®/AI's EMEA Data & AI practice is looking for a Data Scientist to work on media effectiveness projects — Media Mix Modelling, incrementality and attribution — advising clients on media budget allocation, while also contributing statistical and ML expertise across other client workstreams.

Responsibilities

  • Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models and AI technologies
  • Lead media effectiveness projects: design, build and interpret Media Mix Models, incrementality studies and multi-touchpoint attribution solutions that inform client budget allocation and marketing strategy
  • Implement end-to-end, scalable ML & AI systems — model training, inferencing, deployment and monitoring — leveraging cloud technologies
  • Take a leading role in a multidisciplinary team of engineers, consultants and client stakeholders
  • Communicate complex technical solutions to clients through progress reports and demonstrations
  • Translate complex model outputs into clear, actionable recommendations for client stakeholders, including senior marketing leadership
  • Consult and guide clients on data science implementation as a trusted advisor on data-driven decision making

Requirements

  • MSc degree in a highly analytical, quantitative discipline (e.g. Econometrics, Data Science, Applied Mathematics or Statistics)
  • Hands-on experience as a data scientist building media effectiveness solutions: Media Mix Modelling, incrementality studies and multi-touchpoint attribution
  • Solid understanding of marketing strategy, media channels and customer journeys, and how to translate media investment into business impact
  • A strong foundation in traditional statistical methods (regression, time series, probabilistic models), combined with a proactive mindset toward cutting-edge ML/AI developments
  • Deep understanding of Bayesian modelling and causal inference, applied in a client-facing measurement context
  • Proficiency in Python with data science libraries (scikit-learn, pandas, NumPy, SciPy)
  • Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
  • Understanding of MLOps concepts, with hands-on experience on cloud platforms (AWS, Azure, GCP)
  • Experience with version control (Git) and deployment tools (Docker)
  • Excellent analytical thinking and problem-solving abilities
  • Strong communication skills, able to explain technical concepts to a non-technical audience

Soft skills

Analytical thinking and problem-solvingClient communication and consulting mindsetLeadership in a multidisciplinary teamExplaining complex content clearly

About the company

DEPT®/AI's mission is to make the best work in the industry using AI; part of the EMEA Data & AI practice, present in 30+ countries as a digital-born agency with deep tech and marketing expertise.

Education: MSc diploma erősen elemző, kvantitatív területen (pl. ökonometria, data science, alkalmazott matematika, statisztika)

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