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Data Science Junior Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

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 ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

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 ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

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 ...

Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Essential Responsibilities: * Lead the development and implementation of advanced ...

... junior team members What you bring to the table! * 3-5 years of professional experience as a data ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

... junior team members What you bring to the table! * 3-5 years of professional experience as a data ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

... junior team members What you bring to the table! * 3-5 years of professional experience as a data ... Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

We need data science/data engineers/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science ...

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Data Science Junior information

See Arizona salary details

$32.1K

$73.9K

$118.8K

How much do data science junior jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data science junior in Arizona is $73,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $75,900.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for a Data Science Junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a Data Science Junior job?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive in the Data Science Junior position, and why are they important?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What cities in Arizona are hiring for Data Science Junior jobs? Cities in Arizona with the most Data Science Junior job openings:
Infographic showing various Data Science Junior job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $73,947 per year, or $35.6 per hour.
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Other

Medical, PTO

Posted 22 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

248th of 299 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

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