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Manufacturing Data Science Jobs (NOW HIRING)

CosQube INC

Manufacturing Data Architect

Dallas, TX · On-site

$63 - $81/hr

Manufacturing Data Architect Location: Dallas Duration:12+ Months Contract with Extension ... scientists to support predictive maintenance, quality analytics, and real-time performance ...

HCL Global Systems

Manufacturing Data Architect

Dallas, TX

$63.25 - $81.50/hr

Do you have a Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field? Do you have in depth Manufacturing Data Architecture? Are you able to lead the architecture ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL

$75K - $95K/yr

Qualifications & Skills · Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. · 5 years of experience in supply chain or manufacturing ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Qualifications & Skills • Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. • 5 years of experience in supply chain or manufacturing ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing Minimum Qualifications: * B.S./M.S. degree or equivalent experience in ...

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Manufacturing Data Science information

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How much do manufacturing data science jobs pay per year?

As of Jun 3, 2026, the average yearly pay for manufacturing data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Manufacturing Data Architect

CosQube INC

Dallas, TX • On-site

$63 - $81/hr

Contractor

Posted 5 days ago

Job description

Greetings from Cosqube,
Hope your day is Treating you well!
We are immediately hiring for the below given position, if you think you are right suitable resources for this opportunity based on your skills and expertise, please do share your updated resume along with contact details we will be happy to discuss in detail about this role.
 
Project Details:
Role: Manufacturing Data Architect
Location: Dallas
Duration:12+ Months Contract with Extension
Employment Type: C2C/C2H/W2
Interview Criteria: MS teams Video
Job Description:

Job Summary:
We are seeking a highly skilled and experienced Manufacturing Data Architect to lead the design, development, and governance of enterprise-level data architecture tailored to manufacturing operations. The ideal candidate will collaborate with cross-functional teams—including operations, engineering, IT, and analytics—to ensure that data solutions support real-time decision-making, production optimization, and digital transformation across the manufacturing value chain.
⸻
Key Responsibilities:
• Design and implement scalable, secure, and reliable data architectures to support manufacturing systems (MES, SCADA, ERP, etc.).
• Define data modeling standards, data governance policies, and data integration strategies across manufacturing processes.
• Collaborate with business stakeholders and IT to translate manufacturing needs into robust data solutions.
• Lead data platform initiatives using technologies like Azure/AWS/GCP, Snowflake, Databricks, SAP, and others.
• Integrate IoT/IIoT data sources, sensors, and machine data into enterprise data platforms.
• Develop and maintain a comprehensive data architecture blueprint and documentation.
• Ensure data quality, consistency, and availability across manufacturing and supply chain systems.
• Work with data engineers, analysts, and scientists to support predictive maintenance, quality analytics, and real-time performance monitoring.
• Stay up to date with emerging trends in Industry 4.0, smart factories, and data architecture best practices.
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Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Industrial Engineering, or related field.
• Proven experience (10 + years) in data architecture, preferably in a manufacturing or industrial environment.
• Strong understanding of manufacturing processes, systems (MES, ERP, PLC, SCADA), and shop floor data sources.
• Proficiency in data modeling, ETL pipelines, cloud platforms, and integration tools.
• Hands-on experience with modern data architecture tools (e.g., Snowflake, Databricks, Azure Synapse).
• Strong knowledge of data governance, master data management (MDM), and security protocols.
• Excellent communication and stakeholder management skills.
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Preferred Skills:
• Experience with Industry 4.0, digital twins, and smart manufacturing.
• Familiarity with manufacturing KPIs, lean principles, and continuous improvement.
• Certifications in cloud platforms (Azure, AWS, GCP) or data architecture frameworks.