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

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

... programming, to recommend ways to solve problems and influence business decisions and strategies o Provide consultation to peers on data science best practices, methods, and tools to leverage o ...

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.

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Educate and mentor team members on data science best practices, statistical programming, and data preparation Minimum Requirements: * 5 years of experience as a Data Scientist working with large ...

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 ...

Showing results 21-40

Data Science Engineer information

See Phoenix, AZ salary details

$43.3K

$126.2K

$172.8K

How much do data science engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science engineer in Phoenix, AZ is $126,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What cities near Phoenix, AZ are hiring for Data Science Engineer jobs? Cities near Phoenix, AZ with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,247 per year, or $60.7 per hour.

Data Scientist - Palantir Developer

KLA Corporation

Phoenix, AZ • On-site

$110K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

  • Partner directly with business stakeholders to gather, document, and refine business requirements.

  • Translate business processes and operational needs into scalable Palantir Foundry solutions.

  • Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

  • Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

  • Build analytical models, dashboards, and data products that enable business decision-making.

  • Support AI and machine learning use cases within the Foundry ecosystem.

  • Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

  • Perform data validation, troubleshooting, testing, and root cause analysis.

  • Drive projects independently while effectively managing stakeholder expectations and timelines.

  • Create and maintain technical and functional documentation.

  • Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

  • 2+ years of hands-on Palantir Foundry development experience.

  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

  • Experience building data pipelines, transformations, and operational applications in Foundry.

  • Strong SQL skills and experience working with large datasets.

  • Experience using Python for data analysis, automation, or machine learning.

  • Strong understanding of data modeling and business process transformation.

  • Demonstrated ability to work independently with business stakeholders.

  • Excellent communication, facilitation, and requirements gathering skills.

  • Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $110,000.00 - $187,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.