Senior Data Science Analyst & Project lead

About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com - www.abbvie.fr. Follow @abbvie on LinkedIn, Instagram , X and YouTube. AbbVie’s mission is to discover and deliver innovative therapies and solutions that address today’s serious diseases and help meet tomorrow’s medical challenges. We strive to make a remarkable impact on patients’ lives across several major therapeutic areas: immunology, ophthalmology, oncology, neuroscience, and virology, as well as aesthetic medicine through the products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, visit: www.abbvie.com - www.abbvie.fr . Follow @abbvie on LinkedIn, X (formerly Twitter), Instagram, and YouTube.

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 Qualifications 1. Analytical and problem-solving Skills: Excellent problem-solving