Veesion

Data Scientist

Veesion

full-time

Posted on:

Origin:  • 🇫🇷 France

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Salary

💰 €70,000 - €85,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerPythonSQL

About the role

  • Enhance AI models to boost client satisfaction by minimizing theft detection failures and unnecessary alerts
  • Focus on tabular Machine Learning, statistics, probabilities and scientific approaches (not deep learning)
  • Collaborate closely with Head of Data, CEO, Chief Scientific Officer & VP AI, and Tech Team (~20+ engineers)
  • Refine camera performance metrics by selecting models, tuning parameters, and setting detection levels
  • Lead Data Science initiatives: select and organize high-quality datasets and enable robust theoretical testing
  • Analyze real-world system data to determine development priorities and shape executive strategy
  • Orchestrate and execute comprehensive on-site comparison tests to measure and improve solution effectiveness
  • Mentor and support growth of Data Scientists via learning sessions, collaborative projects, and brainstorming
  • Produce reproducible code and integrate AI features effectively into Veesion's platforms

Requirements

  • Master’s degree or equivalent in Data Science, Computer Science, Statistics, or related field
  • At least 4 years of professional data science or ML engineering experience (excluding internships)
  • Proficiency in Python and SQL
  • Experience using Git for version control
  • Strong knowledge of statistics, probabilities, and machine learning concepts
  • Experience with visualization techniques
  • Ability to write reproducible code and deliver precise, impactful deliverables
  • Strong problem-solving skills and ability to align technical solutions with business objectives
  • Experience mentoring and leading learning sessions and collaborative projects
  • Ability to work in dynamic environments and communicate clearly with stakeholders
  • Nice to have: Expertise in AWS cloud services and pipeline orchestration tools
  • Nice to have: Proficiency with GitHub Actions workflows and Python testing automation
  • Nice to have: Mastery of Polars or DuckDB for high-performance data processing
  • Nice to have: Competence with Docker and MLOps methodologies