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

State Farm

Data Scientist

Tempe, AZ · Hybrid

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

Republic Services

Data Scientist III

Phoenix, AZ · On-site

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Republic Services

Data Scientist III

Phoenix, AZ

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Republic Services

Data Scientist III

Phoenix, AZ

Proficiency with programming in Python in data science and/or statistical analytics settings. * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with Excel ...

Mondo

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 ...

New

Mondo

Data Scientist

Phoenix, AZ

$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 ...

New

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ

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 ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Mentor junior engineers, providing guidance on best practices and technologies. Evangelize ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ...

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

Data Science Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do data science engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data science engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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 job?

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 ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are popular job titles related to Data Science Engineer jobs in Phoenix, AZ? For Data Science Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Phoenix, AZ look for? The top searched job categories for Data Science Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Science Engineer jobs? Cities near Phoenix, AZ with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.
Junior Data Scientist with BI Skills

Junior Data Scientist with BI Skills

SynergisticIT

Phoenix, AZ • On-site

Other

Posted 10 days ago

Job description

Recent CS Graduate — Stop Applying Randomly and Start Building a Strategy A computer science degree is valuable, but many recent graduates discover that a degree alone does not automatically lead to interviews. Employers often expect candidates to show practical skills, project depth, interview confidence, and familiarity with tools used in real software or data teams. If your applications are not converting, your profile may need stronger job-ready proof. SynergisticIT is looking for recent graduates interested in Java, Python, full-stack development, DevOps, SQL, data analytics, data science, machine learning, and AI programming. This opportunity is a strong fit for bachelor’s and master’s graduates in computer science, engineering, math, statistics, information systems, or related fields. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is useful because it helps candidates organize their career launch around a process. The focus is not just learning more—it is learning what matters for hiring, building projects that demonstrate capability, improving resume alignment, preparing for technical interviews, and approaching the job market with structure. If you are ready to move from graduate to job-ready candidate, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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