Autopilot Data Scientist for Smart Manufacturing

TAMKO Building Products; Dallas (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

TAMKO Building Products seeks a Manufacturing Data Scientist to advance AI and data‑driven analytics across production lines, enhancing quality, safety, and productivity. You will design, build, and deploy ML models, time‑series analytics, and multi‑agent systems for TAMKO’s Autopilot initiative, focusing on real‑world data and rapid delivery.

You will ground these systems in plant knowledge, ensure deployment on the factory floor, and monitor model performance while aligning with Six Sigma

Qualifications

• Bachelor’s degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics, or a related field.
• 4 to 10 years of related work experience and/or training, or an equivalent combination of education and experience.
• Strong analytical skills and attention to detail.
• Proficiency in Python and SQL for data analysis, modeling, and machine learning.
• Hands‑on experience building and validating machine learning models on tabular and time‑series data, including feature engineering, cross‑validation, and methods such as regression, tree‑based models, and anomaly detection.
• Understanding of applied statistics and statistical process control, including control charts, variation, cause and effect relationships, the Pareto principle, process capability, design of experiments, and hypothesis testing, with the ability to perform these analyses in code.
• A production mindset that extends beyond notebooks, including version control and reproducible, maintainable work that can be deployed and monitored.
• Strong problem‑solving skills, with the ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to read, analyze, and interpret technical procedures, professional and scientific literature, and governmental regulations.
• Ability to draft reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions from groups of peers, managers, operators, and executives, translating technical results into business value.
• Comfort delivering minimum viable products under tight timelines and operating effectively amid ambiguity and evolving requirements.
• Ability to work independently and as part of a team to drive projects to completion.

Responsibilities

• Develop and deploy machine learning, predictive analytics, and prescriptive analytics for TAMKO’s Autopilot initiative.
• Extract, contextualize, and engineer features from plant data sources to improve model context.
• Design and build end‑to‑end, multi‑agent solutions that close the loop from sensing to actions and verification of outcomes.
• Ground systems in plant knowledge through retrieval‑augmented generation over SOPs, manuals, and work orders.
• Deploy models to production and monitor drift, retraining them to run reliably on the line.
• Apply Six Sigma and statistical process control concepts in code to reduce variation and improve quality.
• Present findings and recommendations to peers, managers, operators, and executives translating results into business value.

Skills

Python

SQL

Time-series analysis

Machine learning

Statistical process control

Data visualization

Communication

MLOps

Problem solving

Education

Bachelor’s degree

Tools

OSIsoft PI historian

AVEVA historian

OPC UA

MQTT

MLflow

Docker

Azure Machine Learning

Databricks

Job description

TAMKO Building Products seeks a Manufacturing Data Scientist to advance AI and data‑driven analytics across production lines, enhancing quality, safety, and productivity. You will design, build, and deploy ML models, time‑series analytics, and multi‑agent systems for TAMKO’s Autopilot initiative, focusing on real‑world data and rapid delivery.

You will ground these systems in plant knowledge, ensure deployment on the factory floor, and monitor model performance while aligning with Six Sigma