Data scientists matched on notebooks, deployed models, and business impact — not generic skill lists.
5 matching full-time / mid-level+ listings
Data scientist on fraud and risk ML — growing Atlanta fintech hub.
Data scientist building forecasting and GenAI features for financial services clients in Chicago.
Model customer usage and capacity to improve reliability and cost efficiency.
Run experiments and causal analyses that shape Stripe's AI and payments roadmap.
Measure abuse patterns and model misuse with statistical rigor and actionable dashboards.
Generic résumés do not prove production ability. Ganloss evaluates senior data scientists on reproducible notebooks, models in production, and business metrics — not keyword-stuffed skill lists.
Filter by stack, review GitHub, papers, or technical cases, then contact profiles with demonstrated level in the United States. $36/month — no hire commission.
Agencies charge 15–25% of annual salary and often recycle the same LinkedIn profiles. Ganloss combines a niche AI job board, tech talent pool, and project-based matching — hire faster with fewer mismatches.
Publish in about five minutes with Google for Jobs indexing and reach active candidates in the US AI market.