# Data Scientist at Tenth Revolution Group in United States…

> Source: https://confidential.careers/job-detail/data-scientist-tenth-revolution-group-remote

# Data Scientist

Tenth Revolution Group 

** United States ** Full Time ** Data & Analytics Jobs ** United States ** New

[Apply Now](https://confidential.careers/go/9864319) ** Save 

## Job Description

**Locations:** Dallas, TX | Frederick, MD | Joplin, MO | Phillipsburg, KS | Tuscaloosa, AL

My client is an industry-leading manufacturing organization that is investing heavily in AI, machine learning, advanced analytics, and digital transformation initiatives across its operations.

This is an opportunity for a hands-on Manufacturing Data Scientist to develop and deploy machine learning solutions that improve equipment reliability, product quality, process performance, and operational efficiency. You'll work directly with manufacturing stakeholders, leveraging plant-floor data to solve real-world business challenges while helping advance the organization's long-term vision for autonomous and data-driven manufacturing.

### What You'll Be Doing

- Develop and deploy machine learning, predictive analytics, and anomaly detection solutions in manufacturing environments.

- Build models focused on predictive maintenance, forecasting, process optimization, equipment reliability, and quality improvement.

- Work with complex industrial datasets from sensors, historians, MES platforms, maintenance systems, quality systems, and other manufacturing data sources.

- Engineer features and transform noisy, real-world production data into actionable insights.

- Design and implement scalable data science solutions that move beyond proof of concept and into production.

- Partner with operations, engineering, maintenance, quality, and business stakeholders to identify opportunities and deliver measurable value.

- Apply statistical methods, process control techniques, and machine learning to reduce variation, improve process capability, and increase uptime.

- Support the development of next-generation AI initiatives, including generative AI, agentic workflows, and advanced analytics applications.

- Communicate findings and recommendations to both technical and non-technical audiences.

### What We're Looking For

- Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.

- 4+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines.

- Strong experience with Python and SQL.

- Experience developing machine learning models on operational, manufacturing, industrial, or time-series datasets.

- Hands-on experience working with imperfect data sources, including sensor data, machine-generated data, and manually entered operational data.

- Understanding of statistical analysis, anomaly detection, predictive modeling, and data validation techniques.

- Experience deploying and maintaining models in production environments.

- Strong problem-solving abilities and the ability to work independently in fast-paced environments.

- Excellent communication skills and the ability to translate technical findings into business impact.

### Preferred Experience

- Manufacturing, industrial, process manufacturing, automotive, chemical, consumer products, building materials, food & beverage, or similar industry experience.

- Predictive maintenance, reliability analytics, condition monitoring, or equipment health monitoring.

- MLOps tools and practices including MLflow, Docker, CI/CD, or model monitoring.

- Cloud platforms such as Azure or Databricks.

- Experience with historian platforms, OPC UA, MQTT, MES, SCADA, or other operational technology (OT) systems.

- Exposure to Generative AI, RAG, LLMs, agent frameworks, or modern AI engineering practices.

- Six Sigma, Statistical Process Control (SPC), or continuous improvement methodologies.

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Posted August 13, 2026