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Python Data Scientist Jobs in Phoenix, AZ (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Python and/or R to query, analyze, and manipulate data * 2+ years of experience building data ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Strong proficiency in Python, Scikit-Learn, Optuna * Hands-on experience with Databricks, ML/OPS in ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Strong proficiency in Python, Scikit-Learn, Optuna * Hands-on experience with Databricks, ML/OPS in ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Strong programming experience, preferably in Python * Advanced level of experience with databases ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Python and/or R to query, analyze, and manipulate data * 2+ years of experience building data ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Python and/or R to query, analyze, and manipulate data * 2+ years of experience building data ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Proficiency in SQL and at least one analytical programming language such as Python or R.

Proficiency with data science languages such as Python and R * Ability to handle confidential information * Excellent writing and people skills * Strong math and organizational skills * Flexibility ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML ...

Proficiency in Python, SQL, statistical modeling, and common data science libraries such as Pandas, NumPy, and Scikit-Learn. * Experience developing, validating, and deploying statistical or machine ...

Proficiency with data science languages such as Python and R * Ability to handle confidential information * Excellent writing and people skills * Strong math and organizational skills * Flexibility ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Strong programming skills in Python (plus experience in JavaScript), with proficiency in ML ...

Proficiency in Python, SQL, statistical modeling, and common data science libraries such as Pandas, NumPy, and Scikit-Learn. * Experience developing, validating, and deploying statistical or machine ...

Proficiency in Python, SQL, statistical modeling, and common data science libraries such as Pandas, NumPy, and Scikit-Learn. * Experience developing, validating, and deploying statistical or machine ...

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... Rapidly prototype new AI use cases, including writing Python scripts that stand up vector databases ...

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C ... Top Skills Details Python, Artificial intelligence Additional Skills & Qualifications Product ...

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Python Data Scientist information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do python data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python data scientist in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Phoenix, AZ?

For Python Data Scientist jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Python Data Scientist jobs in Phoenix, AZ look for?

The top searched job categories for Python Data Scientist jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Python Data Scientist jobs?

Cities near Phoenix, AZ with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Data Scientist II

Tempe, AZ • Hybrid

Oscar Health
Insurance Services • 1 - 5K employees

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 5 days ago


Oscar Health rating

6.6

Company rating: 6.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

264th of 315 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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