Timelines, salaries, profiles, and job posts — US data science hiring on Ganloss.
5 listings available
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.
The data scientist market stays tight: 45–90 day median time-to-hire, competition from scale-ups and consultancies. Ganloss centralizes active profiles and qualified applicants on an AI-focused platform.
Publish for free, access the talent pool, and get Google for Jobs indexing. Salary ranges below come from real Ganloss listings.
1) Define level (junior, mid, senior) and exact stack. 2) Write a posting with measurable scope and salary shown — transparent posts get roughly 2× more applicants. 3) Source on Ganloss + LinkedIn. 4) Validate with a short case (2–3 hours max).
See the data scientist role guide and competitor listings to calibrate your package.