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# Data Scientist

- **Company:** Georgia Tek Systems
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Big Data, Computer Programming, Continuous Delivery, Continuous Integration, Data Architecture, Data Files, Data Visualization, R (Programming Language), Python (Programming Language), Logistic Regression, Machine Learning, Tensorflow, Data Processing, Scripting, Pytorch, Random Forest, Git, Kubernetes, Xgboost, Data Management, Machine Learning Operations, Data Pipelines, K Means, Docker
- **Published:** October 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-scientist-indianapolis-in-indianapolis-in--af181b52-daa6-47a1-937f-1de7c25d41c4

## About the Role

* 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

## Description

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