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# Data Scientist

- **Company:** Epitec, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $133,120.0 - $154,752.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Information Engineering, Python (Programming Language), Machine Learning, Reliability Engineering, SQL Databases, Apache Spark, Data Analytics, Data Pipelines, Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.dice.com/job-detail/fae8fe1f-1bc5-46d5-9ac6-6e0f35b27f0c

## About the Role

* 8-10 years of experience
 * Data modeling
 * Data pipeline
 * Data analytics - able to build something out of messy data
 * Bachelor's Degree required

## Description

The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.
Main Responsibilities:

 * Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
 * Build AI application from ground up; impacting all of client's Manufacturing
 * Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
 * Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
 * Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
 * Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions


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