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# Data Science Engineer

- **Company:** People's Electric Cooperative
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cluster Analysis, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** August 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pf1givhixs

## About the Role

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a relevant quantitative field.
5+ years of verified professional experience in advanced data science or ML engineering environments.
Elite coding capabilities in Python or R alongside expert-level production SQL query design.
Documented experience deploying scalable models using AWS, GCP, Azure, Docker, or Kubernetes.

## Description

We are seeking an experienced Data Science Engineer to lead the design and implementation of predictive models, route optimization algorithms, and advanced analytical features within our software ecosystem. You will bridge the gap between heavy statistics and production-grade engineering.
Core Responsibilities:
Design, build, and deploy production-grade machine learning models and predictive analytics infrastructure.
Handle large-scale data gathering, engineering, pipeline construction, and advanced data cleaning processes.
Conduct extensive time-series forecasting, cluster analysis, and custom route or process optimization modeling.
Collaborate closely with software and data engineering teams to deploy models directly into scalable enterprise systems.


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