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Data Scientist (Marketing Modelling)

3 433 - 6 233
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Scientist (Marketing Modelling): Building and scaling core predictive models for marketing measurement with an accent on Bayesian Media Mix Models (MMM) and advanced statistical frameworks. Focus on engineering robust, high-performing data products that translate complex econometric insights into actionable business decisions for a global multi-vertical platform.

Location: Hybrid role based in Vilnius or Kaunas, Lithuania

Salary: €3,433 – €6,233 EUR gross monthly

Company

hirify.global is Europe’s leading second-hand fashion marketplace, operating as a unicorn with over 2,000 employees across multiple business units including Marketplace, Go, and Pay.

What you will do

  • Code, calibrate, and scale Bayesian Media Mix Models (MMM) and ROI frameworks.
  • Build and maintain sophisticated econometric and statistical models to quantify marketing impact.
  • Design automated frameworks and reliability metrics to monitor model health.
  • Develop intelligent data products using modern AI and automation to optimize model runtimes.
  • Partner with decision scientists and leadership to translate complex mechanics into business strategy.
  • Maintain high standards for code quality, validation, and reproducibility.

Requirements

  • Master’s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science).
  • Hands-on experience with advanced statistical, econometric, or time-series modelling.
  • Highly proficient in Python with a focus on production-grade engineering.
  • Strong foundation in advanced statistics, causal inference, and regression.
  • Ability to read scientific papers and adapt state-of-the-art techniques to complex problems.
  • Excellent communication skills to facilitate strategic conversations with technical and leadership audiences.

Nice to have

  • Experience in marketing measurement or MMM.
  • Familiarity with probabilistic programming (e.g., PyMC).

Culture & Benefits

  • Hybrid work model with 2 days in office recommended.
  • Share options programme and annual individual learning budget.
  • 25 working days of holiday plus private health insurance.
  • Workation policy: up to 90 days per year, including 21 days outside the EU.
  • Home office support with a budget of up to €540 for furniture.
  • Dog-friendly offices with additional local perks like gym access or lunch allowances.

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