Entry Level Data Analyst jobs in United States
Senior GenAI Data Scientist (Hybrid Role)
Manulife
Senior Data Scientist - GenAI
Manulife
Senior Data Engineer - Remote ETL & Pipelines
SimplyAnalytics
Senior Data Engineer
SimplyAnalytics
(CONTRACTS) Python Aircraft Data Model Developer - Loads and Dynamics
Bombardier Transportation GmbH
Discover more opportunities than anywhere else. Find more jobs nowData Scientist & Architect — BI, Analytics & Supply Chain
Bombardier Transportation GmbH
Data Scientist/Architect
Bombardier Transportation GmbH
HR Data Governance & Migration Analyst (Hybrid)
Insight Global
Connect with headhunters to apply for similar jobsSenior Data Scientist II — ML Leader, Flexible Hours
RELX INC
Machine Learning Engineer, vLLM Inference - Tool Calling and Structured Output
Red Hat, Inc.
Principal Consultant, Data Engineer (Level 4)
Lovelytics
Lead Machine Learning Engineer, Recommendation Systems
Launch Potato
MDM/IDMC Data Engineer (Remote)
Cognizant
Medical Laboratory Assistant - Laboratory Services
Nova Scotia Health Authority
Senior Data Engineer — Databricks, Python & AWS (Energy)
Eleks
ALM Reporting Manager - Data-Driven Treasury
TD
Software Engineer, Machine Learning Infrastructure
Monograph
Senior Software Engineer, Data Platform
Menlo Ventures
Senior Machine Learning Engineer, Agentic AI
Loopio Inc.
Senior GenAI Data Scientist (Hybrid Role)
Job summary
A leading financial services provider in Toronto is seeking a Senior Data Scientist to develop and implement analytical solutions. This role focuses on machine learning and generative AI techniques including prompt engineering and deploying applications on cloud platforms. Candidates should have over 5 years of experience along with strong proficiency in programming languages like Python. You will work collaboratively to enhance data-driven decision-making and optimize business processes in a hybrid work environment.
Benefits
Qualifications
- 5+ years of experience in developing probabilistic models and analytics models.
- Experience with machine learning and generative AI techniques.
- Proficiency in programming languages such as Python.
Responsibilities
- Develop and implement analytical solutions for various departments.
- Drive data-driven decision-making.
- Enhance business processes using ML and AI techniques.
Skills
Education
Tools
* 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.