Full Remote à France

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.

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 Veesions platforms.
• Youll refine camera performance metrics by choosing specific models adjusting key parameters and setting precise detection levels.
• Youll lead initiatives centered on Data Science excellence fostering breakthroughs and measurable results.
• Youll select and organize high-quality datasets to improve metric accuracy and enable robust theoretical testing.
• By examine real-world system data youll determine development focus areas and shape executive strategy.
• Youll orchestrate and execute comprehensive comparison tests on-site to measure and enhance AI solution effectiveness.
• Youll support the growth of Data Scientists on the team through learning sessions collaborative projects and regular brainstorming.

• Education : you have a Masters degree or equivalent in Data Science Computer Science Statistics or a related field.
• Experience : you have at least 4 years of professional data science or ML Engineering experience (excluding internships apprenticeship teaching experience research PhD) with a strong focus on applying AI and data solutions to real-world challenges.
• You excel at Python and SQL coding and you work effectively with Git for version control.
• You demonstrate comprehensive knowledge of statistics probabilities and machine learning concepts as well you master statistics probabilities and machine learning concepts and visualization techniques.
• You solve complex problems with precision and you deliver concrete solutions that harmonize technical requirements with business objectives.
• You enjoy sharing knowledge and helping others grow mentoring leading learning sessions and fostering collaborative thinking come naturally to you.
• You like to navigate dynamic environments with ease and quickly shift between changing priorities.
• You express concepts clearly and work productively with various stakeholders.
• You create precise impactful deliverables backed by reproducible code.

• Expertise in AWS cloud services and pipeline orchestration tools.
• Proficiency with GitHub Actions workflows and Python testing automation.
• Mastery of Polars or DuckDB for high-performance data processing.
• Competence with Docker and MLOps methodologies.

• Initial Screening (45 minutes remote) : A discussion to review your experience motivations and alignment with the role.
• Take home test (3 hours) : A challenge to serve as a discussion base for the next steps of the process.
• Technical Interview 1 (1.5 hours remote) : Interview with the Head of Data and Chief Scientific Officer to dive deeper into your scientific expertise and approach to solving real-world challenges.
• Final Interview (1h30 onsite) : Meet with our CEO and the rest of the Data team to discuss cultural fit expectations and long-term goals.
• Call References.

• Compensation : 70-85K
• Swile meal voucher card to make your daily life easier.
• Transportation subsidy : 50% coverage of public transport costs.
• Comprehensive health insurance from day one.
• Inclusive and supportive culture that values diversity equity and inclusion .
• Fast-paced motivating environment with growth opportunities.
• Prime office location in the heart of Paris (Beaubourg).
• Full remote from France

Key Skills: Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type: Full Time

Experience: years

Vacancy: 1