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Full Stack Data Scientist Jobs in Arizona (NOW HIRING)

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

You'll work within a modern AI/ML and analytics stack, including: * LLMs:Open AI, Anthropic Claude ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

This position provides full-stack application development and database administration support for ... support data access, analysis, and forensics needs. · Implement all technical and security ...

Java Full Stack

Tempe, AZ · On-site

$51 - $65.75/hr

Java Full Stack Work Location: Tempe, AZ Duration: 8+ Months Collaborates with leaders, IT ... degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS ...

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full ... Create and maintain data pipelines and service integrations * Collaborate across teams to define ...

New

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Benefits: * 401(k) Java Full Stack Developer (Java and React) Candidates should be willing to work ... Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related ...

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full ... Create and maintain data pipelines and service integrations * Collaborate across teams to define ...

New

Java Full Stack Developer

Phoenix, AZ · On-site

$49.50 - $64/hr

Benefits: * 401(k) Java Full Stack Developer (Java and React) Candidates should be willing to work ... Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related ...

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... support the full lifecycle of AI Model development & support. Evaluate and monitor model ...

Showing results 21-40

Full Stack Data Scientist information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do full stack data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full stack data scientist in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Arizona? The most popular types of Full Stack Data Scientist jobs in Arizona are:
What are popular job titles related to Full Stack Data Scientist jobs in Arizona? For Full Stack Data Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Arizona look for? The top searched job categories for Full Stack Data Scientist jobs in Arizona are:
Infographic showing various Full Stack Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Full Stack Development and Integration Expert

Globe Telecom, Inc.

Globe, AZ

Full-time

Posted 28 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Full Stack Development & Integration Expert is responsible for building and integrating scalable full-stack solutions, primarily using Python and Java, aligned with B2B architecture. Develops enterprise applications, reusable components, APIs, MCP and A2A platform communication, automations, and AI-enabled solutions to support seamless platform interoperability and operational efficiency. Represents L2A in Globe and B2B-wide technology initiatives to drive platform modernization and innovation.

DUTIES AND RESONSIBILITIES:

  • Design, develop, and maintain scalable full-stack applications across frontend, backend, APIs, databases, and cloud-based enterprise platforms, primarily using Python and Java.

  • Develop and enhance reusable components, custom integrations, APIs, MCP and A2A platform communication, automation workflows, and AI-enabled solutions to improve interoperability, operational efficiency, and user experience.

  • Implement and optimize platform capabilities from JIRA Atlassian, Salesforce, and other enterprise technologies, maximizing out-of-the-box (OOB) functionalities where applicable.

  • Translate business and operational requirements into technical specifications, ensuring timely delivery through development, testing, deployment, and support cycles.

  • Collaborate with architects, stakeholders, ISG, and cross-functional teams to align solutions with enterprise architecture, security standards, and technology roadmaps.

  • Conduct peer reviews, validate developed functionalities, and ensure adherence to engineering best practices for scalability, reliability, security, and performance.

  • Document system architectures, configurations, integrations, automation flows, and technical processes in compliance with governance and audit requirements.

  • Troubleshoot and resolve platform, integration, and automation issues while providing L2 and L3 technical support for complex incidents and service requests.

  • Manage platform configurations, user access, license utilization, and system inventories for supported applications and services.

  • Coordinate with Enablement, ISG, and Data Privacy teams to ensure compliance with governance policies, secure development standards, and operational controls.

  • Research, evaluate, and recommend emerging technologies, frameworks, AI capabilities, and development tools to support continuous improvement, modernization, and innovation initiatives.

REQUIREMENTS:

  • At least 3 years of hands-on experience in full-stack development platform integration and enterprise application support

  • Experience in B2B environments preferred but not required

  • Proficient in the following technologies and platforms:

    • Frontend: HTML, CSS, JavaScript (React, Angular, or Vue preferred)

    • Backend: Python, Java, Node.js, PHP, and REST APIs

    • Platforms: Salesforce, JIRA, and other SaaS enterprise platforms

    • Data Tools: Google Sheets / Excel, Looker Studio, or similar data visualization tools

    • Databases: BigQuery, Snowflake, or equivalent

    • Cloud & DevOps: Basic understanding of cloud platforms (e.g., AWS) and deployment pipelines

    • Integration: Familiarity with REST APIs, Webhooks, MCP, A2A platform communication, automation workflows, and system integration concepts

    • AI & Automation: Familiarity with AI-enabled solutions, intelligent automation tools, prompt engineering, AI-assisted development tools, or integration of AI/ML services into enterprise workflows

  • Bachelor's Degree in IT / Computer Science, Business Administration, Statistical Analysis, Actuarial Science, or related field preferred but not required

  • Certifications in ITIL preferred

  • Salesforce, Atlassian, cloud, integration, or AI-related certifications are an advantage

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.