Data Scientist
Validio is the agentic data management platform that automates data quality, lineage, and cataloging — so enterprises can finally trust the data behind their analytics, AI, and reporting. As a Data Scientist on our Algorithm team, you build the models at the heart of the product — the Anomaly Detection that separates good data from bad.
A validator watches a metric over time; an ML model decides, for each new value as it arrives, whether it's anomalous and worth waking someone up for. These models run against tens of thousands of time series at once — unattended, unlabeled, with nobody tuning them per customer. You'll own that end to end: reading a metric from a customer's warehouse, running the algorithm online in our pipeline, and persisting the state it carries between runs, fast and reliably at scale.
What you'll do
Build the algorithmic core — anomaly detection, plus data profiling, SQL generation, lineage parsing, and change point detection
Take a method from a research paper to a tested prototype, then to a production model running online in the engine
Work out why a validator over-alerts on a metric — say one with a strong daily and weekly cycle — and reshape how it forms its expected range
