Data Scientist (Marketing)

TL;DR

Data Scientist (Marketing): Building and optimizing data-driven insights to improve marketing channel performance and optimize marketing investments with an accent on developing predictive models, experiment design, and generating hypotheses for acquisition and strategy. Focus on conducting data studies to uncover insights, writing ETL pipelines, and evaluating the effectiveness of new advertising channels.

Location: Fully remote (any location) or hybrid in Lisbon, Portugal

Company

hirify.global is a global cross-border marketplace connecting millions of consumers with interesting and unique goods from around the world, part of an international group of tech-centric e-commerce companies.

What you will do

• Evaluate the effectiveness of new advertising channels.
• Improve monitoring of statistical anomalies in metrics.
• Enhance long-term payback prediction models.
• Generate hypotheses to improve acquisition, product feeds, ad creatives, and channel split.
• Conduct data studies to uncover insights.
• Write ETL pipelines for data marts, alerts, and predictions.

Requirements

• Experience in data analysis, specifically in marketing analytics.
• Understanding of marketing KPIs, attribution models, and ad platform problems.
• Knowledge of mathematical statistics and experience applying it.
• Ability to write complex SQL queries.
• Data analysis skills in Python.
• Ability to choose the right evaluation approach for various problems.
• Ability to solve non-trivial problems under incomplete data.
• Good English verbal and written communication skills (B2+).

Nice to have

• Experience running A/B, geo, and other types of experiments.
• Experience in econometrics.

Culture & Benefits

• Directly influence business ROI and growth.
• Access to advanced AI tools (Cursor, ChatGPT, Gemini, Claude).
• Strong analyst community with cross-team knowledge sharing.
• Transparent growth framework and structured onboarding.
• Open culture with minimal bureaucracy.
• Flexible fully remote or hybrid work options.