Please apply directly on our website, so we can take care of your application as soon as possible.
Veesion is experiencing rapid growth following its successful Series B funding round. This expansion phase requires strengthening our technical foundation and scaling our development capabilities to meet increasing market demands.
Veesion leads the market in retail theft prevention technology. We transform product security and operational efficiency through our innovative system. Our solution integrates sophisticated video analytics, AI intelligence, and user-friendly interfaces to prevent theft instantly and provide valuable data. We now seek for a Data Scientist to offer an outstanding leadership and mentorship to the growing Data Team.
Missions
You will become part of our Data Team, which includes MLOps and Data Science specialists. Your main responsibility will center on enhancing our AI models to boost client satisfaction. This requires developing creative solutions to minimize theft detection failures and unnecessary alerts.
N.B: This position is not focused on Deep Learning but on tabular Machine Learning, statistics, probabilities and scientific approaches.
Working closely with Tanguy, Head of Data, you will interact with several key teams:
Chief Executive Officer: Coordinate business goals and priorities
Chief Scientific Officer & VP AI: Sharpen problem analysis and approaches
Tech Team: Collaborate with over 20 software engineers to integrate AI features effectively into Veesion's platforms.
You’ll refine camera performance metrics by choosing specific models, adjusting key parameters, and setting precise detection levels.
You’ll lead initiatives centered on Data Science excellence, fostering breakthroughs and measurable results.
You’ll select and organize high-quality datasets to improve metric accuracy and enable robust theoretical testing.
By examine real-world system data, you’ll determine development focus areas and shape executive strategy.
You’ll orchestrate and execute comprehensive comparison tests on-site to measure and enhance AI solution effectiveness.
You’ll support the growth of Data Scientists on the team through learning sessions, collaborative projects, and regular brainstorming.
