A data technology firm is seeking a Data Scientist (Azure, Python, and SQL) based in Toronto. The candidate will analyze large data sets to enhance product performance, communicate insights effectively to stakeholders, and manage predictive modeling tasks. The role requires over 4
A grocery delivery service is seeking a Senior Data Scientist to innovate auction mechanisms crucial to their advertising business. Responsibilities include designing analytical frameworks for auction systems, performing experiments to evaluate auction changes, and collaborating with cross-functional teams.
Join to apply for the Data Scientist | $120/hr Remote role at Crossing Hurdles . Direct message the job poster from Crossing Hurdles. Base pay range $100.00/hr - $120.00/hr Position Details Position: Data Scientist Referral Partner: Crossing Hurdles Type: Hourly
Senior Data Scientist, Growth - Remote - US & Canada About Jobgether Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. One of
Lead end-to-end ML development, from data exploration and feature engineering to production deployment Partner with stakeholders to define and solve high-impact business problems Apply rigorous scientific methods to test, validate, and scale models Deploy production-grade ML solutions
Join a forward-thinking fintech as a Remote Staff Data Scientist - Risk in Canada. Leverage your analytics skills to enhance fraud prevention measures and foster sustainable business growth. In this pivotal role, you’ll be at the confluence of
Data Scientist / Analytics Engineer – Risk & Vulnerability Analytics Contract: 1-Year Location: Montreal, QC (Remote Role) Role Overvie wDesign and build scalable data models, analytics frameworks, and reporting solutions to transform large, complex vulnerability datasets into actionable insights.
Lead and guide a team of data engineers on multiple projects. Work on data preparation and pipeline development for predictive modeling. Tasks include: data interrogation, exploratory data analysis, profiling, and reconciliation. Create, revise, and monitor data pipelines based on input from