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Manufacturing Data Scientist Jobs in Arizona (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Experience in semiconductor, manufacturing, or industrial domains is a plus. Preferred Knowledge ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...

Three Point Solutions

Principal R&D Engineer

Tempe, AZ · On-site

$55 - $65/hr

Analyze manufacturing data using statistical methods to drive process improvements and solve ... Advanced degree in Mechanical Engineering, Biomedical Engineering, Materials Science, Physics ...

Intel

Database Administrator PL/SQL Developer

Phoenix, AZ · On-site

$49.75 - $62/hr

Work as part of a software development team focusing on manufacturing data pipeline to create ... Computer Science, Computer Engineering, Information Systems, or related field. 5+ years of ...

New

BEPC INC

Be Seen First

Bioinformatics Scientist - 30485

Tucson, AZ · On-site

$45 - $65/hr

Troubleshoot bioinformatics and data-quality issues to ensure the integrity, accessibility, and ... manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to ...

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

Drive the adoption and integration of the UFDM and analytics platform at each of the manufacturing ... Bachelor's degree in Analytics, Data Science, Computer Science, or a related field; or equivalent ...

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

Drive the adoption and integration of the UFDM and analytics platform at each of the manufacturing ... Bachelor's degree in Analytics, Data Science, Computer Science, or a related field; or equivalent ...

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

Drive the adoption and integration of the UFDM and analytics platform at each of the manufacturing ... Bachelor's degree in Analytics, Data Science, Computer Science, or a related field; or equivalent ...

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All JobsManufacturing Data Scientist JobsManufacturing Data Scientist Jobs in Arizona

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 5, 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:

Manufacturing Data Scientist jobs near you
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.

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

Re-posted 18 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Sr. Manager AI & Data Science

We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions across onsemi's global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI/ML adoption to deliver business value.

We're looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.

But your true impact will come from leadership. You'll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you'll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi's digital transformation.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

Requirements: 

  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field.
  • 10-15 years of experience in AI/data science, with at least 5 years in a leadership role.
  • Proven experience deploying AI/ML solutions in production environments.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience:

  • Semiconductor industry experience.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
  • Understanding of AI security and compliance frameworks.

Competencies:

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Process management / process improvement
  • Drive for results, Able to work under pressure and meet deadlines
  1. Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
  2. Collaborate with business domain managers to define product requirements and identify AI opportunities.
  3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
  4. Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
  6. Mentor and grow a team of AI, data scientists and machine learning engineers.
  7. Represent the AI function in executive forums and cross-functional steering committees.

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