Data Scientist jobs in United States
Bilingual Data Scientist (NLP/LLM, RAG) - Hybrid Toronto
Nexus Systems Group Inc.
Senior Data Scientist, Rider Growth & Loyalty — Hybrid
Lyft
Staff Marketing Data Scientist - Lead Measurement & Growth
Thumbtack
Data Scientist - Build ML Models that Drive Product Impact
CLōD
Pricing Data Scientist: ML-Driven Profit Growth
Softchoice
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Scientist - Hybrid: Scale Big Data & Safe UX
Aylo Careers
Senior Data Scientist – AI Prototyping & Production
Amazon
Principal Data Scientist: GenAI & Recommender Leader
ODAIA
Connect with headhunters to apply for similar jobsSenior Growth Data Scientist – Remote Marketing Analytics
Fullscript
Senior Data Scientist - Graph and Supply Chain Innovation
Tiger Analytics
AI and Data - Data Scientist (Ottawa)
Ernst & Young Advisory Services Sdn Bhd
Data Scientist: Feature Engineering & Predictive ML
Kount
Senior Data Scientist, Quantitative Analytics & Insights
BMO Financial Group
Senior Data Scientist / Machine Learning Engineer - Listing Quality
Faire
Senior Data Scientist — Personalization & Growth
The Athletic
Senior Data Scientist - Remote, Shape Product Strategy
Instacart
Staff Data Scientist - Cybersecurity ML & Production Pipelines
RBC Dominion Securities
Bilingual Data Scientist (NLP/LLM, RAG) - Hybrid Toronto
Job summary
A technology solutions provider in Toronto is looking for a bilingual Data Scientist to enhance AI and machine learning initiatives. Responsibilities include working on RAG systems and analyzing complex data. The candidate should have relevant experience in data science and proficiency in Python and SQL. This role offers hybrid work arrangements and the chance to contribute to high-impact projects.
Qualifications
- 1-2 years of experience in LLM and RAG.
- Experience with data engineering and data pipeline skills.
- Strong foundation in data mining and data cleaning.
Responsibilities
- Assess and enhance the French version of the RAG system.
- Analyze large, complex datasets in structured and unstructured formats.
- Develop innovative approaches to solve clients’ analytics problems.
Skills
Education
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.