
- Salary
- $125k – $170k / year
- Type
- Full-time
- Location
- Atlanta, GA · Atlanta (Georgia) · Hybrid
- Valid through
- 11/2/2026
Additional details
- Posted
- Posted 2 days ago
- Applications
- 29
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- Georgia
- Team
- Stripe — AI team
- Company size
- 7000+
- Founded
- 2010
Job description
Stripe is hiring a Data Scientist (Full-time) hybrid. This data scientist role is part of the AI hiring market in Atlanta (Georgia). Data scientist on fraud and risk ML — growing Atlanta fintech hub. Listed compensation: $125k – $170k / year. Stack: Data scientist, Fintech, ML, Atlanta.
Data Scientist profiles are in high demand in Atlanta: Atlanta combines enterprise AI, logistics analytics, and fintech with a growing ML talent pool.…
The team
Stripe — AI team
Responsibilities
- Deliver production ML/LLM features with clear evals and monitoring
- Collaborate with product, design, and infra on roadmap priorities
- Document architecture decisions and mentor junior engineers where relevant
Requirements
- 3+ years shipping ML, LLM, or data systems in production
- Strong Python or TypeScript and communication skills
- Comfort with evals, observability, and responsible AI practices
Tech stack
Benefits
Hiring process
- 1Recruiter screen (30 min)
- 2Technical interview
- 3Team conversation
- 4Offer
Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience
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FAQ — Data Scientist
- What is the salary for Data Scientist at Stripe?
- Listed range: $125k – $170k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the Data Scientist role based?
- Atlanta, GA, Atlanta (Georgia). Work mode: Hybrid.
- How do I apply to Stripe?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0021. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.
- Is Stripe hiring other AI roles?
- Stripe (Fintech & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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