Data Scientist

Sr Data ScientistLocation: Indianapolis, INRate - DOEStart Date – ASAPProject 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 needsDesign and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasetsPartner with data scientists, data engineers, and production teams to deploy and maintain data products at scaleCommunicate and train research partners on models and products to facilitate data-driven decisionsCommunicate 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 neededSteward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architectureStay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficialRequired Qualifications7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualizationExperience 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 validationExperience 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 solutionsAbility to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skillsStrong critical thinking and problem-solving skills, flexibility, and willingness to learn