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6 дней назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Netherlands/Croatia +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI): Designing data-driven solutions and end-to-end AI systems for client challenges with an accent on media effectiveness, Media Mix Modelling, incrementality, and attribution. Focus on building scalable ML systems, applying Bayesian modelling and causal inference, and translating complex model outputs into actionable marketing recommendations.

Location: Roles open in Amsterdam, Berlin, Budapest, Hamburg, London, Manchester, Rotterdam, Skopje, Split, and Zagreb.

Company

hirify.global is a digital agency combining technology, marketing, data science, and AI to deliver solutions for clients across multiple industries.

What you will do

  • Design data-driven solutions using advanced analytics, machine learning models, and AI technologies.
  • Lead media effectiveness projects, including Media Mix Models, incrementality studies, and multi-touchpoint attribution.
  • Build scalable end-to-end ML and AI systems covering training, inference, deployment, and monitoring.
  • Collaborate with engineers, consultants, and client stakeholders on multidisciplinary projects.
  • Explain technical solutions, model outputs, and business recommendations to client stakeholders and senior marketing leaders.
  • Advise clients on data science implementation and data-driven decision-making.

Requirements

  • MSc degree in Econometrics, Data Science, Applied Mathematics, Statistics, or a related quantitative discipline.
  • Hands-on experience building media effectiveness solutions using Media Mix Modelling, incrementality, and attribution.
  • Strong knowledge of marketing strategy, media channels, customer journeys, Bayesian modelling, and causal inference.
  • Proficiency in Python and data science libraries including scikit-learn, pandas, NumPy, and SciPy.
  • Strong SQL skills, experience with Snowflake, BigQuery, or Redshift, and knowledge of MLOps on AWS, Azure, or GCP.
  • Experience with Git and Docker, plus strong analytical, problem-solving, and communication skills.

Culture & Benefits

  • Work within an EMEA Data & AI practice alongside data scientists and AI engineers.
  • Collaborate with colleagues across more than 30 countries and on international client projects.
  • Access global opportunities, professional tools, and development-focused support.
  • Work in an inclusive environment that supports diversity, equity, inclusion, and reasonable adjustments.

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