Build models that R&D; teams actually use.

You work directly with business stakeholders at a integral science & technology leader: understand the question, prototype the answer, iterate until it drives a real decision.

Remote from Argentina · Long-term · Start as soon as possible

WHAT YOU WILL DO
- Turn business questions into models: forecasting, predictive analytics, correlation analysis
- Build data apps people open every day (Streamlit; ReactJS for the polished builds)
- Choose the right chart. Visualisation is craft, not decoration
- Move across domains: financial, semiconductor, experimental data
- Use AI tools daily, with the fundamentals to judge their output

YOUR SECOND FOCUS: THE PIPELINES UNDERNEATH
- Build and maintain the ETL work your own analyses run on
- Any framework: PySpark, Polars, dbt, SQL. The interest matters, not the tool
- Git and Docker daily; DuckDB and FastAPI in the stack

WHAT YOU BRING
- 5+ years hands-on experience, 10+ for the Sr. title
- Strong, idiomatic Python and real delivery with real stakeholders
- Genuine interest in data engineering,



or first hands-on experience
- Fluent English. You work with US stakeholders daily
- Based in Argentina, with regular live overlap with US West Coast mornings (approx. 12:00–16:00 ART)

WHAT WE WEIGHT HIGHEST

Takes ownership · curious · manages expectations · proactive · fast learner

We hire for mindset first. The rest is learnable.

NICE TO HAVE

Deeper ReactJS · Palantir Foundry · AWS · financial modeling · enterprise or R&D; environments

WHAT WE OFFER
- A long-term position, not a project gig
- 100% remote from Argentina
- Monthly payment in USD to your own account — no forced conversion
- An international senior team and an AI-forward engineering culture
- Competitive compensation and real influence on how things get built
- You would be among the first in our Argentina team

ABOUT DATABRIDGE

Swiss-led data & AI company, headquartered near Zurich, Switzerland. We work with analytics, AI

📌 Data Scientist (Argentina)
🏢 databridge
📍 Argentina