Data Scientist

Ektello; Austin (TX); On-site; USD 88,000 - 92,000; Part time

Benefits offered by this job

Benefits/PTO

Job summary

American Automotive Company is seeking a Data Scientist for a 4-month contract in Austin, TX onsite. The role applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, and reliability across plants.

The role partners with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams. You will build analytical datasets and pipelines using SQL, Python, Spark, and Databricks; develop

Qualifications

• Bachelor's degree in a technical field required.
• 8–10 years of experience in data modeling.
• 8–10 years of experience with data pipelines, data analytics, and related technologies (SQL, Python, Spark, Databricks).

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 downtime, defects, yield, and maintenance.
• Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
• Convert findings into practical recommendations for plant personnel and leaders.
• Create dashboards, visualizations, reports, and interfaces to communicate trends and risks.
• Productionize analytics and models with data engineering and IT teams.
• Monitor model performance, data drift, and business impact after deployment.

Skills

Data modeling

Data pipeline

Data analytics

Education

Bachelor's degree in a technical field

Tools

SQL

Python

Spark

Databricks

Job description

Job Title: Data Scientist

Client: American Automotive Company

Duration: 4 months contract with HIGH chance to become permanent

Location: Austin, TX (Onsite)

Work Authorization: Visa sponsorship not available (Not open to C2C or 1099)

Pay: $64-67/hr w2 + Benefits/PTO

Top Required Skills

• 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

Position Overview

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.

Key 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.
• Follow data, cybersecurity, AI governance, safety, privacy, and change-management requirements.
• Present technical results to both technical and nontechnical audiences and maintain clear documentation.
• Promote reusable analytical methods, standards, and best practices across plants and manufacturing domains.

Qualifications

Education - Bachelor's degree in a technical field such as computer science, computer engineering or related field required.

Years of experience - at least 8-10 years of experience

Experience technologies including SQL, Python, Spark, and Databricks

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

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