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Night Shift Data Science Jobs in Arizona (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations:US ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ

$135K - $216K/yr

Provide technical solution design and act as a technical lead or mentor for data science and ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Provide technical solution design and act as a technical lead or mentor for data science and ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Provide technical solution design and act as a technical lead or mentor for data science and ... Depending on the position, employees may be eligible for overtime, shift differential, and a ...

RUSSELL MCCALLS INC

Sanitation Night Shift

Tolleson, AZ · On-site

$16 - $18/hr

... Data Sheets. * Maintain the safety, quality, and legality of food products. Things you need to be ... differential for night shift from 10:00 PM to 4:00 AM, Employee Discount, and Referral Bonus.

FNS, INC

Warehouse Data Specialist

Phoenix, AZ · On-site

$1.5K/mo

B Sunday - Wednesday/ Sunday - Tuesday & Night Shift (6pm ~ 6am) - Shift: C Wednesday - Saturday ... Data Management & Analysis: * Collect, analyze, and report daily warehouse operational metrics ...

FNS, INC

Warehouse Data Specialist

Phoenix, AZ

$55K - $65K/yr

B Sunday - Wednesday/ Sunday - Tuesday & Night Shift (6pm ~ 6am) - Shift: C Wednesday - Saturday ... Data Management & Analysis: * Collect, analyze, and report daily warehouse operational metrics ...

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Night Shift Data Science information

See Arizona salary details

$38.7K

$132.8K

$187.3K

How much do night shift data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for night shift data science in Arizona is $132,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $155,200.00 per year, depending on experience, location, and employer.

What is a night shift data science?

A Night Shift Data Science job involves analyzing data, building models, and generating insights during nighttime hours, often to support global teams or ensure real-time monitoring and reporting. Companies in finance, e-commerce, healthcare, and cybersecurity may require night shift data scientists to handle live data streams, anomaly detection, or urgent analytical tasks. This role typically demands strong data science skills, proficiency in tools like Python, SQL, and machine learning frameworks, and the ability to work independently with minimal supervision.

What are the key skills and qualifications needed to thrive in night shift data science?

To thrive as a Night Shift Data Scientist, you need solid expertise in statistics, data modeling, and programming languages such as Python or R, often supported by a degree in data science, mathematics, or a related field. Proficiency with data visualization tools, databases, and, ideally, certifications in data analytics or machine learning are valuable for this position. Strong analytical thinking, attention to detail, and adaptability to work independently during off-hours are critical soft skills. These qualifications enable effective problem-solving, timely delivery of insights, and seamless support for organizations operating around the clock.

What are the unique challenges of working as a data scientist during the night shift, and how is teamwork managed?

Night shift data scientists often work with less immediate supervision and may face challenges coordinating with teams who operate during regular business hours. To overcome this, organizations typically implement robust collaboration tools, detailed hand-off procedures, and clear documentation to ensure smooth project continuity across shifts. Night shift roles frequently require stronger initiative, proactive communication skills, and the ability to troubleshoot and solve problems independently. Despite the schedule, you’ll often interact with global teams or provide critical support for time-sensitive projects, making adaptability and self-motivation essential for success.

What job categories do people searching Night Shift Data Science jobs in Arizona look for?

The top searched job categories for Night Shift Data Science jobs in Arizona are:

Night Shift Data Science jobs near you
Infographic showing various Night Shift Data Science job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 5% Contract, and 20% Nights. Highlights an 100% In-person job distribution, with an average salary of $132,757 per year, or $63.8 per hour.

Senior AI / Data Science Engineer

Phoenix, AZ • On-site

Intel Corporation
Manufacturing • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer

Learn more about Intel Corporationexternal

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Job description

Job Details:
Job Description:
Join Intel and build a better tomorrow.
Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), accelerating technology readiness, manufacturing maturity, yield improvement, and operational excellence across Intel's product and foundry ecosystem. MDCE partners across engineering organizations to transform manufacturing insights into scalable production solutions that enable Intel's foundry strategy and future growth.
As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process optimization, and increase engineering productivity across Intel Foundry.
The successful candidate will combine deep expertise in semiconductor manufacturing analytics, AI/ML methodologies, and software engineering with the ability to influence cross-functional stakeholders and drive innovation at scale.
Key Responsibilities:
  • Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
  • Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
  • Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
  • Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
  • Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
  • Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
  • Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
  • Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
  • Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
  • Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Core Competencies
  • Ability to collaborate effectively within a team setting.
  • Excellent Communication Skills.

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
  • 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
  • Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
  • Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Preferred Qualifications
  • Post graduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • Experience driving AI transformation initiatives across large engineering organizations.
  • Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures.
  • Experience deploying AI/ML solutions into production environments.
  • Experience developing APIs and microservices.
  • Semiconductor foundry experience.
  • Background in Yield Engineering, Process Integration, Process Development, or Manufacturing Engineering.
  • Proven track record mentoring engineers and providing technical leadership

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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