Advanced Data Scientist, Industrial AI & ML for Smart Ops

Sotalent; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k matching

Generous paid time off

Job summary

Sotalent is seeking an Advanced Data Scientist in Atlanta to lead the development and deployment of cutting-edge ML models that drive business value across industrial tech platforms.

You will collaborate with application architects and data engineers to integrate insights into our AI-driven software, leveraging AWS/GCP/Azure, Spark, PyTorch, and TensorFlow to scale solutions across IoT, cloud, and analytics suites.

Qualifications

• Bachelor's degree in a STEM field as stated.
• 4+ years prototyping with Python in a commercial environment.
• 4+ years applying ML to physical processes, systems, or hardware.
• Proven expertise with Spark or distributed storage/compute.
• 4+ years building/deploying models on AWS/Azure/GCP.
• Hands-on with PyTorch, TensorFlow or Keras.
• Production pipelines via containerized microservices or orchestrated batch runs.
• US Person status per export control laws.

Responsibilities

• Develop and launch innovative machine learning models that generate significant business value.
• Recommend technical solutions using diverse data science methodologies and hypothesis testing.
• Define data acquisition strategies and governance of analytics strategy.
• Promote data science best practices across business functions.
• Report directly to the Director of Artificial Intelligence.

Skills

Python

Machine learning

Data science

Remote collaboration

Hypothesis testing

Education

Bachelor degree in Computer Science, Engineering, Applied Mathematics or related STEM

Tools

Spark

AWS

Azure

GCP

PyTorch

TensorFlow

Keras

Docker

Kubernetes

Job description

Sotalent is seeking an Advanced Data Scientist in Atlanta to lead the development and deployment of cutting-edge ML models that drive business value across industrial tech platforms.

You will collaborate with application architects and data engineers to integrate insights into our AI-driven software, leveraging AWS/GCP/Azure, Spark, PyTorch, and TensorFlow to scale solutions across IoT, cloud, and analytics suites.