PstrongSr. Data Scientist /strong /ppbr/ppstrongPurpose: /strong /ppThe Client is looking for a Senior Data Scientist to join the Data Science and Engineering Capability Center within the Crop Science hub. This role will develop state-of-the-art ML/AI models in support of advancing new products through the RD pipeline and generating new insights for RD stakeholders. /pp• 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. /pp• Fosters new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models. /pp• 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. /ppbr/ppstrongKey Tasks Responsibilities: /strong /pp• 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 (RD); /pp• Use advanced imaging-based analytical models, machine learning and AI algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions; /pp• 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; /pp• Develop DL/AI models to simulate crop performance simulations using genetic, environmental and digital phenotyping datasets /pp• Develop sustainable, accurate, and impactful reporting on imaging model inputs/outputs, business impact, and key performance indicators; /pp• Deploy containerized ML/AI models for inference workflows /pp• Demonstrate full autonomy in developing relationships for effective cross-functional collaboration throughout multiple organizations and partner on work stream initiatives for Data Science Community; /pp• Assess needs and recommend experiments and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data; /pp• 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; /pp• 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%). /ppbr/ppstrongKey Working Relations: /strong /pp• 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. /pp• Active member in the Data Science community to build personal acumen ability, while also sharing new industry best practices in data science methodologies. /pp• Provides support for their team without management presence and is expected to provide technical leadership to all levels of the organization. /ppbr/ppstrongQualifications Competencies: /strong /ppEducation/Experience /pp• Bachelors degree with 8 years of experience or Masters degree with 6+ years experience or PhD with 3 years of experience. /ppbr/ppstrongSkills (Technical Soft) /strong /pp• 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. /pp• Advanced competencies in image processing, computer vision, color spaces, and photogrammetric modeling. /pp• 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. /pp• 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. /pp• Demonstrate knowledge on digital twin simulation concepts and how DL/AI and physical system models can be used for crop simulations. /pp• Developing and improving models for computer vision projects from video, still images ortho-mosaics either post-harvest or on-plant for plant related phenotyping. /pp• Strong background on ML and deep learning frameworks (i.e.,XGBoost, PyTorch or TensorFlow) specifically in applying them to time-series or spatial data. /pp• 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. /pp• Strong proficiency in computational skills to build models using Python or other statistical and/or mathematical programming packages. /pp• Strong proficiency in model deployment using Docker and familiarity with model orchestration /pp• Advanced experience in a cloud computing environment (AWS, GCP) and handling large datasets. /pp• Extensive experience in successful delivery of valuable analysis through application of domain knowledge; evidence of strong business acumen. /pp• Experience working within Agile Scrum framework /pp• 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. /pp• Strong interpersonal skills to work with and support global colleagues asynchronously. /p