1

Manufacturing Data Scientist Jobs in Arizona (NOW HIRING)

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 ...

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 ...

What makes this team unique is its position at the intersection of data science, engineering, service operations, and manufacturing, where insights directly influence vehicle quality decisions. By ...

Posted today

What makes this team unique is its position at the intersection of data science, engineering, service operations, and manufacturing, where insights directly influence vehicle quality decisions. By ...

Posted today

Lead Data Scientist

Prescott, AZ · On-site

$144K - $198K/yr

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a ... The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ...

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a ... The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Developing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing ...

Manufacturing Development Engineer II

Tucson, AZ · On-site

$69K - $88K/yr

Together, we push the boundaries of known science and find new ways to connect and protect our ... Developing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Developing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Developing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel ... As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Experience in semiconductor, manufacturing, or industrial domains is a plus. Preferred Knowledge ...

next page

Showing results 1-20

Manufacturing Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do manufacturing data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manufacturing data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a manufacturing data scientist?

A Manufacturing Data Scientist analyzes data from production lines, sensors, and quality control systems to optimize manufacturing processes. They use machine learning, statistical modeling, and data visualization to improve efficiency, reduce waste, and enhance product quality. Their responsibilities include predictive maintenance, defect detection, and process automation. By leveraging data, they help manufacturers make data-driven decisions to improve productivity and reduce operational costs.

What are the key skills and qualifications needed to thrive as a manufacturing data scientist?

To thrive as a Manufacturing Data Scientist, you need strong analytical abilities, proficiency in statistics, data modeling, and a degree in engineering, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, machine learning platforms, and experience with manufacturing systems like MES or ERP are typically required. Strong problem-solving, communication, and the ability to collaborate across cross-functional teams are important soft skills. These qualifications are essential for analyzing complex manufacturing data, driving process improvements, and facilitating successful adoption of data-driven decisions on the production floor.

What are some common challenges a manufacturing data scientist faces in their daily work?

Manufacturing Data Scientists often work with large and varied datasets from different machines and systems, which can be noisy or incomplete, requiring careful data cleaning and preprocessing. They also face the challenge of translating technical findings into actionable insights for engineers, plant managers, and non-technical stakeholders. Collaboration across departments, such as operations, quality assurance, and IT, is a key part of the job, making clear communication and project management skills vital. Adapting data solutions to legacy equipment or evolving production lines can add complexity, but these challenges provide valuable opportunities to drive impactful process improvements.

How is data science used in manufacturing?

A manufacturing data scientist analyzes production data to optimize processes, improve quality, and reduce costs. They use tools like machine learning, statistical analysis, and data visualization to identify patterns and make data-driven decisions that enhance efficiency and product performance.

What are the most commonly searched types of Manufacturing Data Scientist jobs in Arizona?

The most popular types of Manufacturing Data Scientist jobs in Arizona are:

What are popular job titles related to Manufacturing Data Scientist jobs in Arizona?

For Manufacturing Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Scientist jobs in Arizona look for?

The top searched job categories for Manufacturing Data Scientist jobs in Arizona are:

Infographic showing various Manufacturing Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Full-time

Re-posted 2 days ago


Key responsibilities

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases.

  • Design and implement classifier models to identify and predict patterns in product, customer, and supplier taxonomies.

  • Support the full lifecycle of AI Model development and support, including evaluating and monitoring model performance in production environments.


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.