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Full Stack Data Scientist Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data modeling and schema design. * Database migration strategies. * Query optimization and ... Strong computer science and software engineering fundamentals. * Ownership of technologies listed ...

New

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Familiarity with database technologies (SQL and NoSQL) and data modeling. Experience with version ... Education Bachelor s degree in Computer Science, Engineering, or a related technical field, or ...

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... Design and build scalable full stack applications across backend and frontend layers * Develop and ...

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... Design and build scalable full stack applications across backend and frontend layers * Develop and ...

At State Farm, we are dedicated to helping our team members develop to their full potential. As a data scientist, you have the unique opportunity to develop both professionally & analytically. You ...

Full Stack Developer - Java & ReactJS

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. * Minimum 6+ years of experience in Full Stack Development. * Strong hands-on expertise in: * Java

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions ...

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Showing results 1-20

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 Jun 27, 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 in the Full Stack Data Scientist position, and why are they important?

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 job?

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:
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Other

Medical, PTO

Posted 20 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

229th of 263 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments