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Data Science Manager Jobs in Phoenix, AZ (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... management. * Lead cross-functional technical initiatives and influence strategic AI roadmaps ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

QuantumClean

Data Scientist

Phoenix, AZ

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

... functional teams including product managers, software engineers, and other scientists ... Qualifications: - Bachelor's or master's degree in computer science, Statistics, Mathematics, Data ...

PayPal

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Deloitte

Lead AI and Data Science Engineer II

Tempe, AZ · On-site

$98K - $129K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Orbotech

Data Scientist - Palantir Developer

Phoenix, AZ · On-site

$110K - $187K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ... our hiring managers. If you are concerned that a communication, an interview, an offer of ...

New

Kla

Data Scientist - Palantir Developer

Phoenix, AZ · On-site

$110K - $187K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ... our hiring managers. If you are concerned that a communication, an interview, an offer of ...

New

Pwc

Payer Healthcare Data Scientist, Manager

Phoenix, AZ · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

Work within the Databricks platform: build and manage ML workflows for experiment tracking, Delta ... Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

Work within the Databricks platform: build and manage ML workflows for experiment tracking, Delta ... Bachelor\'s degree in Computer Science, Mathematics, Statistics, Engineering, or a related ...

Intel

Data Scientist

Phoenix, AZ

$161K - $228K/yr

Proactive and self-driven, with the ability to work independently and manage multiple priorities ... Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Phoenix, AZ

Data Science Manager information

See Phoenix, AZ salary details

$29.2K

$91.4K

$161.9K

How much do data science manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science manager in Phoenix, AZ is $91,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $118,100.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Phoenix, AZ? The most popular types of Data Science jobs in Phoenix, AZ are:
What are popular job titles related to Data Science Manager jobs in Phoenix, AZ? For Data Science Manager jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Phoenix, AZ look for? The top searched job categories for Data Science Manager jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Science Manager jobs? Cities near Phoenix, AZ with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Phoenix, AZ as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $91,431 per year, or $44 per hour.

Senior AI / Data Science Engineer

Intel Corporation

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

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.

What Intel employees say

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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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