**Sr Data Scientist** **Pourpose:** Bayer is looking for a Senior Data Scientist to join the Data Science and Engineering Capability Center in Bayer Euroservices within the Crop Science hub. This role will develop state\-of\-the\-art ML/AI models in support of advancing new products through the R\&D pipeline and generating new insights for R\&D stakeholders. * The individual works collaboratively with interdisciplinary scientists, Enterprise IT and engineering professionals across the organizations to solve critical problems and answer important questions that drive key decisions for our business. * Fosters new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models. * Works on a team as an individual contributor with other Data Scientists. May lead multi\-discipline project teams of large scope which may require assigning and coordinating the work of others. **Key Tasks \& Responsibilities:** * Develop, implement, and deploy state\-of\-the\-art ML/AI models and imaging technologies in digital pipelines for key vegetable projects with scientists and engineers across Crop Science research and development (R\&D); * Use advanced imaging\-based analytical models, machine learning and AI algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions; * Lead imaging\-based project by designing and conducting the experiments, and effectively communicate the project milestones, insights and timelines with other teams and update the key stakeholders in a timely manner; * Develop DL/AI models to simulate crop performance simulations using genetic, environmental and digital phenotyping datasets * Develop sustainable, accurate, and impactful reporting on imaging model inputs/outputs, business impact, and key performance indicators; * Deploy containerized ML/AI models for inference workflows * Demonstrate full autonomy in developing relationships for effective cross\-functional collaboration throughout multiple organizations and partner on work stream initiatives for Data Science Community; * Assess needs and recommend experiments and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data; * Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business; * Develop Code: (20\-25%), Stats/Modeling Research: (30\-35%), Domain Knowledge and Consulting Industry Experts: (30\-35%), Provide Technical Guidance to Associate DS and DS, mentors, develops and delivers presentations and strategies: (10\-15%). **Key Working Relations:** * Building relationships and networks within current function and cross\- functionally, interacts most often with Data Scientists across multiple organizations and key stakeholders within the business including senior level management. * Active member in the Data Science community to build personal acumen \& ability, while also sharing new industry best practices in data science methodologies. * Provides support for their team without management presence and is expected to provide technical leadership to all levels of the organization. **Qualifications \& Competencies:** Education/Experience * Bachelors degree with 8 years of experience or Masters degree with 6\+ years experience or PhD with 3 years of experience. Skills (Technical \& Soft) * Educational preparation or applied experience in at least one of the following areas: Machine Learning/Deep Learning, Artificial Intelligence, Imaging Science, Computer Vision, Photogrammetry and Crop Simulation. * Advanced competencies in image processing, computer vision, color spaces, and photogrammetric modeling. * Solid understanding of machine learning and deep neural network algorithms and advanced statistics including regression, time\-series forecasting, clustering, decision tress, exploratory data analysis methods, simulation, optimization. * Advanced experience in ML/DL modeling and conduct analysis of high dimensional and multi\-layered geospatial data layers from cutting edge imaging modalities including: multispectral, hyperspectral, LIDAR, thermal sensors. * Demonstrate knowledge on digital twin simulation concepts and how DL/AI and physical system models can be used for crop simulations. * Developing and improving models for computer vision projects from video, still images ortho\-mosaics either post\-harvest or on\-plant for plant related phenotyping. * Strong background on ML and deep learning frameworks (i.e.,XGBoost, PyTorch or TensorFlow) specifically in applying them to time\-series or spatial data. * Developing automated processing workflow or pipeline to correct for the presence of image distorting artifacts, occlusion with suitable QA/QC and analytics to deliver business outcomes. * Strong proficiency in computational skills to build models using Python or other statistical and/or mathematical programming packages. * Strong proficiency in model deployment using Docker and familiarity with model orchestration * Advanced experience in a cloud computing environment (AWS, GCP) and handling large datasets. * Extensive experience in successful delivery of valuable analysis through application of domain knowledge; evidence of strong business acumen. * Experience working within Agile Scrum framework * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to broad audiences and key stakeholders across multiple functions. * Strong interpersonal skills to work with and support global colleagues asynchronously **Application Period:** 23/12/2025\-09/01/2026 **Reference Code:** 859545 **Division:** Crop Science **Location:** Spain : Cataluña : Barcelona **Functional Area:** Engineering \& Technology **Position Grade:** VS 1\.2 **Employment Type:** Regular **Work Time:** Full time