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# Senior Data Scientist

- **Company:** Logic20\u002F20 Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $143,070.0 - $178,256.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Microsoft Azure, Information Engineering, Data Visualization, Python (Programming Language), Machine Learning, Standard Sql, Data Analytics, Programming Languages
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=18f293482435251f

## About the Role

Do you have experience in Working in the energy & utilities sector?, * 5-10 years of experience as a data scientist developing machine learning models using Python.

 * Experience with Azure.
 * Knowledge of statistics and machine learning techniques.
 * Strong hands-on experience in computer vision is highly preferred.
 * Consulting experience and/or experience working in the utilities industry is preferred.

## Description

As a Senior Data Scientist joining Logic20/20's AI & Analytics practice, you'll transform data into powerful insights capable of driving enlightened decision-making. You'll work closely with the client to understand their business needs, then frame those needs as statistical problems and solve them with leading-edge methodologies. Along the way, you'll be a part of a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skill sets in creating world-class solutions.

What you'll do:

 * Learn and deploy new programming languages, algorithms, and applications
 * Quantify the value of existing data and provide roadmaps for future development
 * Model knowledge of machine learning techniques and develop solutions in Python and SQL
 * Grasp opportunities to broaden your scope into the realms of data engineering and data visualization
 * Build models of customer satisfaction that provide detailed insight into what drives customer actions
 * Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making


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