US- IT Data Scientist (Mid)

Job Title : Data Scientist Location: CREVE COEUR, Mo, 63167-1000 Hybrid - Local candidates only Position Overview We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, deep learning, and image processing to join our dynamic team. The ideal candidate will have proven track record of working with imagery (such as remote sensing and plant phenotyping imaging) and will utilize advanced machine learning/deep learning techniques to develop predictive models using this imagery. In this role, you will collaborate closely with scientists from various discipline as well as IT and engineering professionals, to deliver innovative analytics. Your expertise will play a critical role in driving data and analytics driven informed decision making in  agricultural operations. Key Responsibilities Data Science: • You will leverage your expertise in image analysis, statistical analysis, machine learning, and deep learning models to analyze complex imagery data, developing actionable insights that drive agricultural operations. • You will write comprehensive model documentation detailing problem formulation, modeling approach, validation, data requirements, and implementation steps. • You will adhere to data science best practices, including peer review, code review, documentation, coding standards, and ensuring reproducibility. Collaborate and Communicate • You will build cross-functional relationships to partner with the business stakeholders and collaborate with Data Science community to co-develop innovative solutions. • You will communicate results to key stakeholders in a clear and compelling manner. We would expect from you: • Experience: You have Ph.D. (or MS with 4+ years of post-MS experience) in one of the following areas: Data Science, Computer Vision, Machine Learning, Imagery and Robotics. • Imagery Experience: You have experience working with imagery and deriving insights from imagery (such as remote sensing data and phenotyping imaging). Familiarity with analytical techniques specific to image analysis is essential, and experience in plant phenotyping image analysis is a significant advantage. • Deep learning and Machine Leaning: You possess a strong understanding of machine learning and deep learning frameworks, statistical concepts, and data analysis techniques. Demonstrated proficiency, experience in using image labeling tools and applying machine learning and deep learning methods to image data is highly desirable. • Cloud Computing: You have familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) and understand how to leverage these tools for data processing and model deployment. RESTRICTED • Programming: You are proficient in Python or other high level programming language with hands on experience in using machine learning and deep learning libraries (eg., OpenCV, TensorFlow, PyTorch etc). You are adept at writing clean and maintainable code and adhere to coding best practices, including version control using Github. • Soft skills: You have a high sense of ownership and are motivated to deliver valuable analysis. You have excellent communication skills and can clearly explain technical concepts to non-experts