In the Business Excellence & ACE transformation function, as a Senior Data Science Project Lead & Analyst, you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive actionable insights and support decision-making across various departments. You will work closely with cross-functional teams to implement data-driven solutions that enhance our business strategies.

       Data Analysis:

• Perform exploratory data analysis to identify trends and patterns in close collaboration with the Data Scientist
• Perform advanced analysis on complex datasets to identify trends and patterns that impact business outcomes
• Analyze the output of predictive models to optimize business performance.
• Validate and identify inputs to optimize models using machine learning techniques to ensure accuracy and performance.
• Generate and synthesize insights to feed business and/or address business needs for analytics needs and provide actionable insights.
• Supervise and support junior team members in conducting data analyses.
• Support continuous improvement efforts in data collection, analysis, and reporting within the data analytics community and capitalize on best practices

      Collaboration and Communication:

• Work closely with stakeholders to understand their needs and translate business requirements into analytical solutions.
• Present findings and insights to non-technical stakeholders in a clear and concise manner.
• Collaborate with IT teams to integrate data solutions into existing workflows.

      Data Management:

• Know data management processes.
• Understand data pipelines and repositories.
• Ensure compliance with data governance and security policies.

       Trends

•  Stay updated with the latest advancements in data science and machine learning.
•  Explore and evaluate new tools, technologies, and methodologies.
•  Participate in the design and execution of pilot projects and proof-of-concepts.

       Reporting and Visualization:

• Develop dashboards and reports to monitor key metrics and KPIs.
• Use visualization tools to create intuitive and informative visualizations.
• Automate reporting processes to ensure timely and accurate dissemination of information.

       Cross-functional collaboration:

• Work closely with sales, marketing, and product management teams to understand their data
• Participate in meetings and discussions to share the results of the analysis and contribute to the development of effective business strategies.

        Data Science Project & solution management

• Contribute, on behalf of the affiliate, to the management of DS projects deployed by Europe or Global
• Ensure local/global coordination and coordinates local actors
• Ensure project and solution management at a local level