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New Grad Machine Learning Jobs in Arizona (NOW HIRING)

Data Scientist, Senior

Tempe, AZ · On-site

$114K/yr

... machine learning operationalization (MLOps/AIOps) practices, including version control, model deployment, workflow automation, and reproducibility. * Learns, evaluates, and adopts new analytical ...

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New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What job categories do people searching New Grad Machine Learning jobs in Arizona look for? The top searched job categories for New Grad Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for New Grad Machine Learning jobs? Cities in Arizona with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 84% Full Time, 5% Part Time, 10% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
New Grad Registered Nurse

New Grad Registered Nurse

Valleywise Health System

Phoenix, AZ • On-site

$35/hr

Other

Posted 15 days ago


Valleywise Health rating

7.5

Company rating: 7.5 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

226th of 874 rated healthcare providers


Job description

***This job posting is for current Valleywise Health employees only. ***
Start your nursing journey with a program built to support, empower, and elevate new graduate nurses. Our twelve'month Nurse Residency Program is designed to help you transition confidently into professional practice while delivering exceptional care to our diverse community.
This structured program strengthens your clinical judgment, communication, and leadership skills through:
  • A standardized curriculum focused on professional growth.
  • Classroom learning and hands'on skill development in our Simulation Center.
  • Regular assessments, progress check'ins, and clinical reflection sessions.
  • Dedicated preceptor support.
  • A collaborative environment committed to your success.

You will learn to synthesize and prioritize information from multiple sources, support a wide range of patient needs, and build the confidence required for safe, high'quality nursing practice.
This cohort will start on October 26, 2026. You will need to have your RN License no later than October 19th.
Hourly Pay Rate: $35.00
Qualifications for the Nurse Resident Program:
  • Recent or upcoming graduate from an accredited nursing program.
  • No more than six (6) months of RN experience.
  • Must pass NLCEX by the assigned start date (October 19, 2026) or have a current AZ RN license, temporary AZ RN license, or compact RN license and must be in good standing.
  • Requires a BLS certification through an approved American Heart Association (AHA) training center upon hire.
  • Must successfully complete and meet all the requirements for the Nurse Residency Program.
  • Must have the ability to work effectively and respectfully with a culturally diverse patient population and team.
  • Effective communication, time management, and customer service skills are needed.
  • Basic computer skills and the ability to navigate through electronic health records.
  • Must have the ability to read, write, and speak effectively in English.

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