Data Scientist Specialist

1 week ago

Marquand, Missouri, United States Georgia IT Inc Full time
About Georgia IT Inc

We are a leading technology company providing innovative solutions to various industries.

Job Title: Data Scientist
Location: Indianapolis, IN
Duration: 12+ months
Rate: $120,000 - $150,000 per year

Job Description

As a data scientist at Georgia IT Inc, you will play a critical role in developing and deploying machine learning models to drive business growth. You will work closely with our R&D scientists to design and implement scalable data pipelines for processing high-complexity datasets.

  • 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
Requirements

We are looking for a highly skilled data scientist with experience in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization.

  • 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

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