Data Scientist

Job Title: Data Scientist Duration: 12 Months Location: Creve Coeur, MO, United States (Hybrid – Local candidates only) Why CLIENT • “Health for all and Hunger for none” is our mission at CLIENT. Every day, we work on purposeful projects that bring this mission to life and contribute to a more sustainable future for the world. Join CLIENT to have a career where you can put your passion into practice and make an impact using science for a better life. Position Overview • We are seeking a Data Scientist with expertise in machine learning, deep learning, and image processing. The ideal candidate will have hands-on experience working with imagery (such as remote sensing or plant phenotyping imaging) and will apply advanced ML/DL techniques to develop predictive models that support CLIENT’s agricultural operations. • This role involves collaboration with scientists across disciplines, as well as IT and engineering teams, to deliver data-driven insights and solutions. Key Responsibilities Data Science • Apply image analysis, statistical analysis, and ML/DL models to analyze complex imagery data. • Develop actionable insights that support agricultural decision-making. • Write detailed model documentation covering problem formulation, modeling approach, validation methods, data requirements, and implementation. • Follow best practices in data science, including peer reviews, code reviews, documentation, coding standards, and reproducibility. • Collaborate and Communicate • Build relationships with business stakeholders and cross-functional teams to co-develop data-driven solutions. • Communicate technical results clearly and effectively to non-technical audiences. • Participate actively in CLIENT’s Data Science community to innovate and share knowledge. • Qualifications – We Expect From You Education & Experience • PhD (or MS with 4+ years of post-MS experience) in Data Science, Computer Vision, Machine Learning, Imagery, or Robotics. • Imagery Experience • Hands-on experience working with imagery datasets like remote sensing or phenotyping imaging. • Strong familiarity with image analysis techniques; experience in plant phenotyping is a significant advantage. • Machine Learning & Deep Learning • Proficiency in machine learning frameworks and statistical analysis techniques. • Experience with image labeling tools and applying ML/DL methods to image datasets. • Cloud Computing • Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and how they are used for data processing and model deployment. Programming Skills • Expertise in Python or other high-level languages. • Experience with libraries like OpenCV, TensorFlow, PyTorch, etc. • Able to write clean, maintainable code and follow coding best practices, including version control using GitHub. Soft Skills • High ownership and motivation to deliver impactful analysis. Excellent communication skills to explain complex concepts to non-technical stakeholders.