Data Scientist

Data Scientist

📍 Location: Seine-St.-Denis, Île-de-France, France (Hybrid)

🏢 Industry: Human Resources Services

💼 Work Setting: Hybrid

Are you passionate about transforming data into actionable insights and driving business performance through analytics and AI? This is an exciting opportunity to leverage advanced data science techniques, predictive modeling, and machine learning to support strategic decision-making and operational excellence.

As a Data Scientist, you will be responsible for collecting, analyzing, and transforming data from multiple business systems into valuable insights that support operational efficiency, innovation, and long-term growth. You will collaborate with cross-functional teams to develop predictive models, data-driven solutions, and intelligent decision-support tools.

Key Responsibilities

Data Analysis & Business Intelligence

• Collect, structure, and analyze data from multiple internal systems and sources
• Ensure data quality, reliability, and consistency across platforms
• Develop KPIs, reports, and dashboards to support business performance monitoring
• Deliver actionable insights that support strategic and operational decision-making

Predictive Analytics & Machine Learning

• Design, develop, and implement predictive models for business optimization
• Build machine learning solutions to support forecasting, trend analysis, and operational improvements
• Develop data-driven tools that enhance decision-making and business performance
• Apply AI and advanced analytics techniques to solve complex business challenges

Decision Support & Value Creation

• Transform raw data into meaningful operational and strategic insights
• Identify opportunities to improve service quality, efficiency, and performance
• Support planning processes by anticipating future trends and business needs
• Deliver recommendations that drive measurable business value

Innovation & Continuous Improvement

• Stay current on emerging trends in Data Science, Artificial Intelligence, and Analytics
• Evaluate new technologies, methodologies, and tools for business application
• Identify innovative opportunities to enhance processes, performance, and customer outcomes

Cross-Functional Collaboration

• Partner with teams across operations, marketing, engineering, and business functions
• Collaborate with external stakeholders and partners when required
• Communicate technical findings and analytical insights to both technical and non-technical audiences
• Support data-driven decision-making across the organization

Required Qualifications

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• Proven experience in data analysis, data modeling, and predictive analytics
• Strong proficiency in:
• Python
• R
• SQL
• Experience with data visualization and reporting tools such as Power BI
• Hands-on experience working with large-scale datasets and advanced analytics solutions
• Knowledge of Machine Learning and Artificial Intelligence frameworks
• Strong statistical analysis, forecasting, and modeling expertise
• Experience managing analytical projects from concept through implementation

Preferred Qualifications

• Experience within transportation, mobility, logistics, or related industries
• Familiarity with transportation systems, scheduling platforms, or operational analytics
• Experience building AI-driven decision-support solutions
• Knowledge of predictive maintenance and operational forecasting models