Data Scientist (Marketing)
Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.
Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
We’re looking for an experienced Data Scientist (Marketing) who can turn data into insights that drive smarter decisions, improve channel performance, and optimize marketing investments.
About the Joom Marketing Team
Our marketing analytics team helps the business make smarter, data-driven decisions. We focus on:
- Optimizing marketing budgets and channel mix to maximize efficiency
- Building dashboards and analytical tools for decision-making, ROI forecasting, and strategic planning
- Designing and analyzing experiments to measure channel performance and incrementality
- Developing alerting systems to monitor spend, efficiency changes, and data quality
- Supporting budget planning, marketing strategy, and market research
Why join us
- Real business impact: your work directly influences ROI and growth
- Access to advanced AI tools (Cursor, ChatGPT, Gemini, Claude)
- Strong analyst community & cross-team knowledge sharing
- Matrix structure: your manager is also an analyst
- Transparent growth path & structured onboarding
- Open culture with minimal bureaucracy
Responsibilities
- Evaluate the effectiveness of new advertising channels
- Set up and improve monitoring of statistical anomalies in metrics
- Improve long‑term payback prediction models
- Generate hypotheses to improve acquisition/product feeds/ad creatives/channel split/targets, etc.
- Conduct data studies to uncover insights
- Write ETL pipelines (data marts, alerts, and predictions)
- Ask “why” and “what problem are we solving”
Requirements
- Experience in data analysis, experience in marketing analytics
- Understanding of marketing KPIs, attribution models, and the problems ad platforms solve
- 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 — analytics, research, or use of external data
- Ability to solve non‑trivial problems under incomplete data
- Attention to detail and ability to see any task through to completion
- Good English verbal and written communication skills (B2+)
Preferred
- Experience running A/B, geo, and other types of experiments
- Experience in econometrics
We offer
- Fully remote or hybrid format (Lisbon office)
- Contract-based collaboration (full-time)
- Transparent growth framework: we define growth expectations together and set goals that align with them
