IT Data Scientist

Technology Resource Group, LLC; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Technology Resource Group, LLC is seeking an IT Data Analyst 5 in Austin, TX to translate business problems into measurable analytical use cases. You will build data pipelines, perform advanced analytics, and develop models to improve operations and decision making across our manufacturing IT environment.

The role requires 8–10 years of data experience, strong data modeling and ETL skills, plus excellent communication. On-site in Austin, with opportunities to collaborate across IT and operations.

Qualifications

• Bachelor's degree in a technical field is required.
• 8-10 years of applicable experience.
• Data modeling experience required (8-10 years).
• Data pipeline experience (8-10 years).
• Strong data analytics and ability to derive insights from messy data.
• Experience with databases and ETL processes.
• Proficient in at least one scripting language.
• Excellent written and oral communication skills.

Responsibilities

• Translate plant and business problems into measurable analytical questions and use cases.
• Identify and assess data from MES, quality systems, equipment historians, maintenance systems, and production systems.
• Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
• Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
• Develop, validate, document, and monitor predictive or prescriptive models for downtime, yield, defects, and maintenance.
• Evaluate data quality, lineage, and readiness before modeling.
• Convert findings into practical recommendations for plant personnel and leaders.
• Create dashboards, visualizations, reports, and user interfaces to communicate trends and risks.
• Productionize analytics and models with data engineering and IT teams.
• Monitor model performance and data drift post-deployment.
• Support modernization initiatives including cloud migration and data-product development.

Skills

Data modeling

Data pipelines

SQL

Python

ETL

Data analytics

Communication skills

Education

Bachelor's degree in CS/CE or related

Tools

Databricks

Spark

Databases

Job description

Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or

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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.

RESPONSIBILITIES

• Translate plant and business problems into measurable analytical questions and use cases.
• Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.
• Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
• 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.
• Create dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.
• Productionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.
• Monitor model performance, data drift, pipeline health, and business impact after deployment.
• Support manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.

REQUIREMENTS

• Bachelors Degree in a technical field such as computer science, computer engineering or related field required
• 8-10 years applicable experience required
• Data modeling at least 8-10 years of experience
• Data pipeline at least 8-10 years of experience
• Data analytics – able to build something out of messy data at least 8-10 years of experience
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions

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