Manufacturing Operations

Manufacturing Operations Data Jobs

4 jobs found

20d ago

Manufacturing Data Analyst

Fuyao Glass America Inc Moraine, OH

Moraine, OH

20d ago

Full time Data Analysis Data Analytics Data Integration

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Job Description

The Manufacturing Data Analyst at Fuyao Glass America Inc supports manufacturing efficiency and cost reduction by validating production data, building analytics, and driving reliable departmental KPI reporting. This onsite role in Moraine, OH focuses on Plex data accuracy, forecasting, dashboarding, and operational insights.

Responsibilities

Verify data in Plex, correct and standardize the Plex operation, and provide training to maintain system accuracy.
Collect, analyze, track, and supervise implementation of key departmental data, including KPI datasets, weekly and monthly reports, overdue inventory handling, and work instruction documentation.
Collect, clean, and organize large datasets from multiple systems, including ERP, MES, sensor networks, and inventory platforms such as Plex.
Conduct quantitative analysis and build predictive models to identify trends in production efficiency, material usage, and quality deviations.
Develop automated reports and interactive dashboards for cross-functional teams, emphasizing KPIs such as yield, OEE (Overall Equipment Effectiveness), and scrap rates.
Perform root cause analysis for production inefficiencies and quality issues, providing actionable findings to support process improvement and cost reduction initiatives.
Use statistical software for hypothesis testing, regression analysis, and variance analysis to support operational decision-making.
Apply financial and operational modeling techniques to optimize production scheduling, reduce inventory holding costs, and improve ROI on capital equipment.
Develop and maintain data pipelines and analytical frameworks that ensure data accuracy, integrity, and scalability.
Collaborate with production teams and train operators and engineers on data collection methods, dashboard interpretation, and continuous improvement practices.
Apply financial modeling to evaluate ROI on capital equipment investments and analyze trade-offs across scheduling, labor allocation, and raw material purchasing strategies.
Build operational and financial forecasting models that integrate manufacturing KPIs with budgeting and cash flow planning, supporting monthly variance analysis and strategic decisions.
Ensure accurate barcode-based packing and inventory tracking by integrating logistics data with financial reconciliation systems to support timely and accurate COGS reporting.
Support additional financial analysis, including cost-benefit analyses for new process implementations and budgeting impact projections for new production lines.

Nothing in the position description limits management’s right to assign or reassign duties and responsibilities at any time.

Requirements

Language commonly used in the workplace: English and/or Mandarin.
Ability to read and comprehend documents such as safety rules, operating and maintenance instructions, and interpret written, oral, diagram, or scheduled instructions.
Ability to speak effectively and interact with team members, engineers, leadership, and customers.
Ability to perform arithmetic operations using whole numbers, common fractions, and decimals.
Ability to solve practical problems and handle a variety of variables.
Knowledge of and familiarity with manufacturing software.
Familiar with the company’s production process and Plex operation.
Proficiency with EXCEL and other office software, with strong data analysis ability.
Good logic ability and strong data analysis ability.
Familiar with supply chain management.
Training required: PRP operation, PRP management, management methods for material planning, operation training for supply chain management and logistics management, and program manual familiarity.
Employee is regularly required to be in good health, able to work long hours with a computer, and able to handle high stress.

Technologies

Plex
ERP (Enterprise Resource Planning)
MES (Manufacturing Execution System)
Sensor networks
EXCEL
Statistical software

Job Details

Location: Moraine, OH (onsite)
Minimum experience: 1 years
Education: Bachelor’s degree and above
Department: Lamination Pre-assembly
Direct supervisor: Lead Supervisor
Direct subordinates: None

Work Environment

Occasionally exposed to extreme heat.
Noise level is usually moderate.
Safety requirements: safety glasses, steel-toed work boots, and reflective vests.

Key Performance Indicators

On time shipments (OEM)
On time shipments (ARG)
Improvement project earnings (1K)
Days of Inventory WIP
Days of Inventory FG (OEM)
Hourly employee OT hours (Hr/Month)
FBT
GT production batch

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1mo ago

Senior Data Scientist — Manufacturing Operations

Experis Austin, TX

Austin, TX

1mo ago Closed

$90 - $100/hr Contract Senior Advanced Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

Experis is hiring a Senior Data Scientist to support manufacturing operations in an onsite role in Austin, TX. This contract position focuses on turning industrial and operational data into early warnings, predictive models, and monitoring capabilities that teams can act on in real time.

In this role, you will analyze manufacturing and industrial datasets to detect anomalies, predict potential issues ahead of time, and develop models that support process monitoring, quality outcomes, and equipment health. You will work closely with manufacturing and data engineering partners to build workflows that transform raw, fragmented signals into features and insights for stakeholders.

What you’ll do

Analyze factory and industrial data to identify process anomalies and predict potential issues before they occur.
Build and validate statistical and machine learning models for process monitoring, quality prediction, and equipment health assessment.
Collaborate with manufacturing, quality, maintenance, and data engineering teams to develop actionable insights.
Clean, explore, and join fragmented operational datasets, transforming messy signals into meaningful features.
Communicate findings clearly to stakeholders, including explanations, thresholds, and recommended actions based on model outputs.

What you bring

8-10+ years of applied experience in data science, analysis, and modeling within operational or industrial environments.
Proficiency in Python and SQL, with demonstrated experience working with large, complex datasets.
Strong background in building and defending models such as classification, regression, clustering, anomaly detection, or time series analysis.
Experience creating features from sensor, machine, quality, or operational data, especially in manufacturing or similar sectors.
Ability to quickly learn unfamiliar plant processes and communicate technical insights effectively.

Technology

Python
SQL

Contract details and pay

Location: Austin, TX (onsite)
Pay range: USD 90 - 100 per hour

Benefits

Opportunity to help build a new AI-driven system from the ground up in a dynamic manufacturing environment.
Work on cutting-edge data modeling and analytics techniques applied to real industrial challenges.
Collaborative environment with dedicated professionals across manufacturing and data science.
Potential for contract extension beyond an initial 5 months based on project needs and performance.
Chance to make a tangible impact on manufacturing processes and operational efficiency.

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2mo ago

Data Scientist

Hadrian Automation Torrance, CA

Torrance, CA

2mo ago Closed

$170k - $300k/yr Full time Python Advanced Analytics Advanced Manufacturing

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Drive production-ready data science for manufacturing at Hadrian by predicting cycle time, cost, tool wear/life, quality/yield, and triage risk ahead of production runs.

Responsibilities

Build and ship production models for cycle time, tool life, quality, and demand using calibrated uncertainty (quantile, conformal, or Bayesian) instead of point estimates alone.
Predict outcomes directly from geometry by engineering features and developing geometric/graph models for cycle time, cost, DFM, tolerance risk, and triage probability.
Create a part and operation embedding layer representing parts via geometry, material, tolerances, and route; perform similarity retrieval and transfer behavior to cold-start new parts.
Validate with honest backtesting that respects time ordering and prevents part-family leakage; justify model choice (deep vs classical) per problem.
Own model lifecycle end to end on the platform: reproducible training, serving, monitoring, and retraining in partnership with ML Platform and Data Engineering.
Close the loop in production by detecting drift and quality anomalies so predictions improve as new data arrives.
Translate predictions into business decisions for quoting, scheduling, capacity, and DFM; design experiments/A-B tests to measure impact; document results and hand off to operations.

Requirements

Experience with forecasting and prediction on messy manufacturing data with honest uncertainty.
Proficiency in representation learning and embeddings, including similarity/retrieval and transfer or few-shot approaches for limited, sparse data.
Ability to build shipping deep learning solutions in PyTorch and apply judgment on when deep learning is or is not appropriate.
Strong classical ML and statistics including GBMs, Bayesian/hierarchical, survival, and causal methods.
Demonstrated validation rigor: backtesting, leakage control (time and part-family), and calibration.
Strong Python skills for turning complex processes into features and models that can be consumed by operators and downstream systems.
Experience deploying and monitoring models, with pipelines and drift considered from the start.
Comfort working with limited, high-value data and borrowing strength across related cases.

Technologies

PyTorch
quantile
conformal
Bayesian
GBMs
Python
PyTorch Geometric
CAD
B-rep
GNNs
ANN
IoT
A/B tests

Benefits

Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy
Equity

Compensation

Target salary range: USD 170,000 - 300,000 per yearly (actual range may vary based on experience)
Pay position within the range is based on factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs

ITAR Requirements

To conform to U.S. Government space technology export regulations (including ITAR), candidates must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State.

Use of AI in Hiring

Hadrian uses AI-assisted tools in recruiting and hiring to help the team work more efficiently.
AI tools support the team and are not used to make hiring decisions; human evaluation and decisions are used.
If an interview will be recorded, you will be notified in advance and may opt out at any time without impact on candidacy.
Candidate data processed through these tools is subject to the same protections described in Hadrian’s Privacy Policy.

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3mo ago

Sr Data Scientist – Artificial Intelligence & Manufacturing Analytics

PRPDG Juncos, PR

Juncos, PR

3mo ago Closed

$50 - $55/hr Full time Artificial Intelligence Data Data Analytics

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

On-site, full-time opportunity in Juncos, Puerto Rico at PRPDG for a Senior Data Scientist focused on Artificial Intelligence and Manufacturing Analytics. The role offers an hourly rate of USD 50 - 55 per hourly and the chance to design, deploy, and scale AI driven solutions that optimize manufacturing processes and deliver measurable business impact.

Responsibilities

Design, build, validate, and deploy AI and machine learning models to optimize processes, boost efficiency, and tackle complex operational challenges.
Apply advanced analytics, statistical modeling, data mining, and machine learning techniques to generate actionable business and manufacturing insights.
Develop AI solutions leveraging machine learning, deep learning, Generative AI, and Large Language Models.
Support the integration and implementation of AI solutions within manufacturing and operational environments.
Collaborate with engineering, manufacturing, quality, and business teams to identify data science driven improvement opportunities.
Create and maintain technical documentation, protocols, reports, and development records aligned with quality and compliance expectations.
Analyze complex datasets, identify trends, and present findings to both technical and non-technical stakeholders.
Contribute to continuous improvement initiatives by applying digital technologies and data-driven approaches.
Ensure solutions align with quality systems, documentation practices, and operational compliance requirements.
Manage projects effectively, balancing technical execution with timelines and business priorities.

Requirements

Doctorate degree in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or related field, OR Master’s degree with 2+ years of related experience, OR Bachelor’s degree with 4+ years of related experience.
Bachelor’s or advanced degree in Computer Engineering, Computer Science, or a related discipline is preferred.
Specialized coursework or certifications in Artificial Intelligence, Machine Learning, or AI model development.
Experience providing manufacturing support; vial filling or similar pharmaceutical manufacturing processes is highly preferred.
Demonstrated experience deploying or integrating AI/ML solutions into manufacturing or operational environments.
Strong knowledge of Artificial Intelligence, software development, and modern digital technologies.
Hands-on experience developing AI/ML models for process optimization, automation, or task improvement.
Experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, or similar platforms.
Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience with statistical analysis tools such as JMP or similar software.
Experience creating technical documentation, development records, protocols, and technical reports.
Knowledge of Good Documentation Practices GDP, quality systems, and regulated industry compliance.
Strong project management, analytical thinking, and problem-solving skills.
Ability to collaborate effectively with multidisciplinary teams and communicate complex technical concepts clearly.
Strong attention to detail with a quality and compliance‑focused mindset.
Proficiency using AI tools, digital technologies, and advanced computer applications.
Advanced problem-solving and analytical skills; ability to translate business and operational challenges into data-driven solutions.
Strong communication skills with both technical and non-technical audiences.
Self-driven with the ability to manage multiple priorities in a dynamic environment.
Passion for innovation and applying emerging technologies to real-world challenges.

Technologies

Python
TensorFlow
PyTorch
OpenCV
JMP

Experience (Preferred)

Artificial Intelligence, Machine Learning: 5 years
AI model development: 5 years
Providing manufacturing support: 5 years
Vial filling or similar manufacturing processes: 5 years
Deploying or integrating AI/ML solutions into manufacturing: 5 years
Knowledge of Artificial Intelligence: 5 years
Developing AI/ML models for process optimization: 5 years
Python and AI/ML frameworks: 5 years
TensorFlow, PyTorch, OpenCV: 5 years
Machine Learning, Deep Learning, Generative AI: 5 years
Statistical analysis tools such as JMP: 5 years
Creating technical documentation, development records: 5 years
Good Documentation Practices GDP, quality systems: 5 years
AI tools, digital technologies: 5 years

Location and schedule: on-site in Juncos, PR. This is a full-time position.

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