Data Scientist

Project Description: The candidate must have experience and fundamental knowledge in machine learning, experience in deploying models, and programming skills to develop and deliver Client solutions in an industry setting. Responsibilities: Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs

• Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets
• Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale
• Communicate and train research partners on models and products to facilitate data-driven decisions
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed
• Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture
• Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial

• 7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
• Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
• Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
• Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
• Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
• Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
• Strong critical thinking and problem-solving skills, flexibility, and willingness to learn

Skills: Agricultural Equipment, Agriculture, Big Data, Biological Assay, Communication Skills, Computer Programming, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Science, Data Sets, Data Visualization, Develop and Maintain Customers, Docker, Emerging Technology, Git, High Throughput, Interpersonal Skills, Leadership, Machine Learning, Neural Networks, Presentation/Verbal Skills, Problem Solving Skills, Product Lifecycle, Prototyping, Python Programming/Scripting Language, R Programming Language, Research & Development (R&D), Team Player, United States Department of Energy (DOE), Validation Testing, Writing Skills