Data Scientist

• Manipuler des bases de données, cleaning, avec l’utilisation d’outils adaptés comme Python et/ou Excel.
• Analyser des données et réaliser des modèles d'économétrie, statistiques bayésienne etc.
• Analyser et construire la stratégie marketing et optimisation media en s’appuyant sur les modèles
• Participer également à la construction des livrables et à la présentation des recommandations à nos clients

Business Data Scientist – Marketing Effectiveness

• Overview all the data related tasks
• Ensure all the recordings exist for each component
• Collect and organise the data in an easily accessible way
• Manage data distribution on multiple sites
• Be aware of data recording restrictions by country
• Manage annotations either by creating tools or organising campaigns
• Extract meta data from datasets
• Help prepare the data for more sophisticated ML models

Data Manager

• Design predictive models (scoring, Next Best Offer, segmentation)
• Leverage multi-source data
• Productionize associated data processing and models
• Analyze customer journeys and conversion funnels
• Implement measurement frameworks (A/B testing, uplift, customer value)
• Provide ROI-oriented recommendations
• Define data science best practices
• Collaborate with business, analytics and IT teams to ensure reliable data and usage.

Data Scientist – Experienced

• Identifier, cadrer et formaliser des cas d’usage Data Science
• Proposer et développer des POCs innovants
• Concevoir et entraîner des modèles de Machine Learning / Deep Learning
• Traiter et structurer des données complexes, parfois textuelles ou non structurées
• Collaborer avec les Data Engineers pour l’industrialisation des pipelines
• Participer aux activités R&D IA de Keyrus

• Design and build multi-agent orchestration systems
• Collaborate with senior data scientists and AI experts
• Produce runnable code to be reviewed by data scientists

Internship – Agentic AI for Semi-Automating the Data Science Workflow

• Develop AI use cases
• Design machine learning models
• Develop use cases around LLMs and generative AI
• Build and optimize data pipelines
• Automate operational KPIs
• Oversee Data and AI processing in production
• Analyze model performance and continuously improve
• Identify bottlenecks and manage ticket reassignments

• Drive pricing intelligence: design and implement Machine Learning models and optimization algorithms that directly fuel a comprehensive suite of pricing levers
• Own projects end to end: from problem definition and metrics design, through data extraction and model implementation, to presenting results to business and product stakeholders.
• Collaborate with data scientists and backend engineers to translate models into production-ready features
• Design and analyze experiments to measure the impact of fee strategies or model changes.
• Leverage statistical analyses to uncover actionable insights and inform critical tech, business and product decisions
• Communicate your work clearly to engineering, product, and business stakeholders.

Senior Data Scientist – Pricing

• Design, train, and maintain statistical models (scoring, valuation, anomaly detection, segmentation)
• Rigorously assess the quality of models and data — including data provided by external vendors
• Leverage geospatial data (POIs, flows, zoning, distances, cadastral data and DVF — geolocated property transaction data) to enrich valuation and scoring models
• Produce actionable outputs for product and business teams
• Contribute to the data roadmap by identifying high-value opportunities
• Design and maintain training and inference pipelines
• Work closely with the Data Engineer on data architecture and input data quality
• Participate in model orchestration and production monitoring
• Integrate LLM / RAG / generative AI approaches into product use cases when appropriate
• Design and deploy RAG pipelines over real estate and regulatory document corpora
• Master AI engineering patterns: structured prompt engineering, function calling, lightweight AI agents, orchestration chains (LangGraph, CrewAI)

• Operational management of a team of Data Scientists to deliver projects on time with a high level of quality, ensuring client satisfaction
• Developing Data Science service offerings for our clients
• Scientific monitoring to drive innovation in our daily projects
• Supporting the upskilling of consultants in France
• Developing solutions for our clients (scoring models, time series, attribution, coaching, etc.)

Lead Data Scientist

• Participate in the development of a technical stack for operating radio networks
• Responsible for preliminary research, design, improvement and monitoring of AI solutions
• Optimize automated monitoring and the energy efficiency of the network
• Integrate solutions into business applications
• Consult with stakeholders to understand use cases
• Provide guidance on requests and clarify uncertainties in data science
• Design data models to support activities
• Collect data and ensure its quality
• Propose innovative solutions
• Develop AI models (machine learning, deep learning)
• Document methodologies and present results

• Drive the research, development and validation of AI-based medical devices, leveraging Implicity's database of +100,000 patients.
• Collaborate with our Clinical team to ensure the medical relevance of our AI projects for both patients and caregivers.
• Collaborate on the data ingestion pipeline and on the deployment, monitoring and maintenance of our AI-based medical devices in production, which directly impact the daily work of over 300 caregivers.
• Contribute to scientific publications in collaboration with our Clinical team.
• Proactively develop new skills, share knowledge within the team, and contribute to our culture of innovation and experimentation.

Senior Data Scientist

• Build and embody the Data vision
• Define Purse's data vision and strategy, prioritize initiatives, and align Product, Engineering and Business teams on a coherent and ambitious roadmap
• Manage and lead the Data team
• Recruit, structure and develop Purse's Data team
• Own the identification and implementation of AI opportunities in our products and internal processes
• Be responsible for the setup and scaling of high-performance data pipelines and cloud architectures to support all our Data/AI needs
• Establish frameworks for data privacy, security and ethics
• Oversee the analysis, mapping and restructuring of existing data flows
• Create the conditions for Business Analysts to take ownership of data
• Actively participate in projects with our partner merchants

See all jobs on JobTailor

Business Data Scientist – Marketing Effectiveness

Data Manager

Data Scientist – Experienced

Data Scientist

Internship – Agentic AI for Semi-Automating the Data Science Workflow

Data Scientist

Senior Data Scientist – Pricing

Data Scientist

Lead Data Scientist

Data Scientist

Senior Data Scientist

Head of Data & AI