Data Scientist

ektello
Austin, Texas, United StatesContract$133,120–$139,680Posted Aug 27, 2026

About the role

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

Responsibilities

  • Translate plant and business problems into measurable analytical questions and use cases.
  • Identify, access, and assess data from various 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.
  • 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 user interfaces.

Qualifications

  • Bachelor's degree in a technical field such as computer science or computer engineering required.
  • At least 8-10 years of experience in data modeling, data pipeline, and data analytics.
  • Experience with SQL, Python, Spark, and Databricks.

Benefits

  • Benefits
  • Paid Time Off

Skills mentioned

Data AnalysisData EngineeringData PipelinesDatabase DesignSQLPythonApache SparkDatabricksMachine LearningModel Monitoring

About ektello

ektello is a national staffing firm that places Creative, Marketing, Digital & Information Technology talent. At ektello it’s all about delivering the best experience for both our talent and clients. Our goal is to create the most seamless career search and hiring process for our talent while responding quickly and efficiently to our client’s needs. Search Current Career Opportunities: http://www.ektello.com/search-jobs Services include Contractor, Contract to Hire, Direct Hire and Statement-of-Work in the following job categories: Advertising & Marketing Analysis Architecture Back-end Development & Programming Copy & Content Data Development & Management Digital Design Digital Marketing Front-end Development Graphic Design Information Technology Management Network / Systems Project Management User Experience

Staffing and Recruiting201-500 employeesTroy, MI