
Data Scientist — Client Delivery
- Salary
- $125k – $165k / year
- Type
- Full-time
- Location
- Remote · United States
- Valid through
- 11/15/2026
Additional details
- Posted
- Posted 2 days ago
- Applications
- 9
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- United States
- Team
- Ganloss — AI team
- Company size
- 10-50
- Founded
- 2024
Job description
Ganloss is hiring a Data Scientist — Client Delivery (Full-time) remote (US). This data scientist role is part of the AI hiring market in Remote (US) (United States). For teams that need to hire data scientists: embedded data scientist on US SaaS and fintech accounts — experimentation, forecasting, and GenAI analytics with Ganloss one-click apply. Listed compensation: $125k – $165k / year. Stack: Data scientist, Hiring, SQL, Python, ML.
Data Scientist profiles are in high demand in Remote (US): Fully remote US roles: LLM Engineer, MLOps, Data Scientist, and AI Product Manager. Apply from any state.…
The team
Ganloss — AI team
Responsibilities
- Ship production AI with measurable quality, latency, and safety targets
- Partner with product and infra on roadmap and customer feedback
- Document evals, monitoring, and rollout practices for the team
Requirements
- 3+ years relevant experience (or strong internship + shipped projects)
- Python or TypeScript and hands-on LLM/ML/data work
- 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
Go further
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FAQ — Data Scientist — Client Delivery
- What is the salary for Data Scientist — Client Delivery at Ganloss?
- Listed range: $125k – $165k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the Data Scientist — Client Delivery role based?
- US remote role. The team may be headquartered in Remote · US.
- How do I apply to Ganloss?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0003. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.
- Is Ganloss hiring other AI roles?
- Ganloss (HR tech & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
Apply in one click
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