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Overnight Generative Design Jobs (NOW HIRING)

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

Design and implement classifier models to identify & predict patterns in product, customer, and ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

Home Depot

Manager of Data Analytics, Labor

Atlanta, GA · On-site

Design, develop and implement analytical tools that support data visualization, enhanced reporting ... Typically requires overnight travel less than 5% of the time. Physical Requirements: * Frequent ...

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

This role is involved at every step of the solution development process, from ideation, design ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

This role is involved at every step of the solution development process, from ideation, design ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Abbott

Sr. AI/ML Engineer- Life Sciences

San Diego, CA

$110K - $152K/yr

This role is involved at every step of the solution development process, from ideation, design ... Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

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Overnight Generative Design information

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How much do overnight generative design jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for overnight generative design in the United States is $27.99, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $31.73 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Generative Design jobs? The most popular types of Generative Design jobs are:
Overnight Generative Design jobs near you
Infographic showing various Overnight Generative Design job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 20% Part Time, and 9% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $58,220 per year, or $28 per hour.

Data Scientist

UCT Alumni Association

Phoenix, AZ • On-site

Full-time

Re-posted 4 days ago

Job description

Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence. This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success - join us today!
UCT is looking for a talented Data Scientist to join us in Chandler, AZ!
Job Summary:
  • The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance.
  • The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Key Responsibilities:
  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
  • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
  • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments.
  • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.

Qualifications
  • Education -
    • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus.
  • Experience
    • 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive advantage.

Technical Skills:
  • Strong proficiency in Python, Scikit-Learn, Optuna
  • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
  • Experience developing classifier models (Random Forest, KNN, Decision Trees)
  • Strong SQL skills.
  • Experience with Microsoft Copilot Studio development & agent governance
  • Familiarity with Power BI is a plus.

Soft Skills:
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
  • Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Professional development opportunities.

Work Environment:
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Works in a manufacturing environment.

Physical Demands:
  • Ability to kneel, reach, walk, push, pull and grasp.
  • Ability to lift up to 50 lbs.
  • Ability to move arms, hands, and fingers
  • Ability to sit for sustained periods.
  • Required to wear personal protective equipment.
  • Prolonged sitting with some standing and bending intermittently during work hours.
  • Subject to interruptions

Environmental Exposure:
  • Required to wear personal protective equipment where applicable.
  • Subject to frequent interruptions.
  • The ability to talk on the phone and use a computer for extended periods may be required.
  • May involve exposure to moderate noise levels from printers, faxes, computers, etc.

Overnight Travel:
  • Work may require out-of-town travel depending upon assignment (training and meeting).

Ultra Clean Technology is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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