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Data Science Engineer Jobs in Arizona (NOW HIRING)

SynergisticIT

Junior Data Scientist

Phoenix, AZ · On-site

... data engineers/data scientists, machine learning engineers for full time positions with clients ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

Deloitte

Manager - Data Science / Data Lake

Tempe, AZ · On-site

... Science/Data Lake team. In this role, you will support the design and modernization of cyber data ... and data engineering methods to cybersecurity use cases such as detection engineering, threat ...

SynergisticIT

Data Engineer - Remote

Chandler, AZ · On-site

$116K - $140K/yr

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... We want data science/machine learning/data analyst and Java Full stack candidates. Required skills ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

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.

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See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data science engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data science engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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 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.
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Data Science Engineer jobs near you
Junior Data Scientist/Analyst/Engineer

Junior Data Scientist/Analyst/Engineer

SynergisticIT

Phoenix, AZ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Synergisticit Job Opportunities

For more than 12 years Synergisticit has helped jobseekers stand out by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers.

In this market also our candidates get multiple job offers and $100k+ salaries.

We regularly interact with the top tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

We want data science/machine learning/data analyst and Java full stack candidates.

For data science/machine learning positions:

Required skills:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

    • Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow

    Required skills for Java/full stack/software positions:

    • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
    • Highly motivated, self-learner, and technically inquisitive
    • Experience in programming language Java and understanding of the software development life cycle
    • Project work on the skills
    • Knowledge of core Java, javascript, C++ or software programming
    • Spring boot, microservices, Docker, Jenkins and REST API's experience
    • Excellent written and verbal communication skills

    If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

    No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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