Decision Scientist – Bayesian MMM & Growth Analytics

Vinted

Amsterdam

Hybrid

EUR 53,900 - 72,900

Full time

14 days+

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Benefits offered by this job

Share options programme
25 days annual leave
Newest MacBook models
Mental health support
Team-building events
Home office support
Lunch benefit
Discounted gym membership
Shopping budget on Vinted
Pension plan
NS Business Card for transport
Workation opportunities
Dog-friendly office

Job summary

Vinted is seeking a Decision Scientist to join the Marketing Modelling Intelligence team in Amsterdam. The role focuses on shaping product and business strategy by leveraging data to drive impactful decision-making. Responsibilities include developing Bayesian Media Mix Models, guiding investment decisions, and promoting analytics best practices.

The ideal candidate has 2-4 years of experience in data science, a strong command of Python and SQL, and excellent communication skills. This position offers a hybrid work model and a competitive salary package.

Qualifications

  • 2–4 years of experience in data science or analytics.
  • Strategic mindset connecting data science findings to business solutions.
  • Strong communication skills to present results to stakeholders.
  • Proficient in Python, SQL, and experience with BI tools.

Responsibilities

  • Advancing marketing intelligence through Bayesian media mix models.
  • Steering investment decisions by providing econometric insights.
  • Validating strategic bets by analyzing impact through statistical methods.
  • Scaling decision-making with automated data products.
  • Championing data excellence and analytics best practices.

Skills

Data science
Statistical modelling
Python
SQL
Communication
Econometrics

Education

Graduate degree in Data Science, Statistics, Math, Economics, Econometrics or a related field

Tools

Looker
Tableau
dbt

Job description

Vinted is seeking a Decision Scientist to join the Marketing Modelling Intelligence team in Amsterdam. The role focuses on shaping product and business strategy by leveraging data to drive impactful decision-making. Responsibilities include developing Bayesian Media Mix Models, guiding investment decisions, and promoting analytics best practices.

The ideal candidate has 2-4 years of experience in data science, a strong command of Python and SQL, and excellent communication skills. This position offers a hybrid work model and a competitive salary package.

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