Entry Level Data Analyst jobs in United States
Senior Data Scientist - Gen AI & ML Solutions Lead
RBC
Senior Machine Learning Engineer, GFT
RBC
Machine Learning Engineer
Odaia Intelligence Inc.
Laboratory Assistant I
Alberta Health Services
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MANTU GROUP SA
Staff Data Scientist - AIOps & Production ML
RBC
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BMO Financial Group
IT Analyst - Business Systems Analysis - Pension Administration
Aon Corporation
Capital Markets - Business Analyst - IT - 5
LanceSoft
Health Research Specialist — Data & Impact
Yukon University
Geospatial Drone Data Specialist | Hybrid
RES
Forensic Toxicology Data Specialist
Dynacare
L11 Segment Risk Specialist - Data, Technology & Cyber Risk Management (ATH 4268)
TD
Security Business Analyst (IT) - Remote Contract
Targeted Talent
Excel-Driven Accounting Data Specialist
Labelbox
Analyste IT & Scrum Master — Agile Leader
Hydro-Québec
Analyste informatique - Scrum master (Assignation temporaire durée indéterminée)
Hydro-Québec
Retail Inventory Coordinator & ERP Data Specialist
MacEwen Petroleum Inc.
IT Analyst, Software Solutions — SDLC & Cross-Platform Dev
Department of National Defence/Ministère de la défense nationale
IT Analyst, IT Software Solutions - Pacific Region
Department of National Defence/Ministère de la défense nationale
Senior Data Scientist - Gen AI & ML Solutions Lead
Job summary
A leading Canadian financial institution in Toronto is seeking a skilled data science professional to design and implement AI and machine learning solutions. The ideal candidate will collaborate with business partners to deliver data-driven insights, develop and deploy scalable solutions, and analyze large datasets. A relevant degree and proficiency in Python and machine learning are essential. This role offers a comprehensive Total Rewards Program, including competitive compensation and bonuses.
Benefits
Qualifications
- 3+ years of experience delivering data-driven solutions using machine learning, AI, predictive analytics, and/or statistical modeling.
- Able to communicate technical concepts to a non-technical audience.
- Excellent problem solving, collaboration, and organizational skills.
Responsibilities
- Collaborate with key business partners to understand business objectives and provide solutions.
- Prepare and analyze large datasets and develop data quality checks.
- Develop and deploy Gen AI / ML solutions at scale.
- Work with Data Engineers to automate data pipelines.
- Validate and document model performance.
- Leverage visualization tools to convey data-driven insights.
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.