ZipRecruiter

Log In

1

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

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... Design, validate, and evaluate solutions using Python, SQL, and other programming tools * Transform ...

Koantek

Data Scientist

Chandler, AZ · On-site

Proficiency in Python and common data science libraries/frameworks. * Experience with cloud platforms and modern AI/ML toolsets. * Strong analytical, problem-solving, and communication skills.

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self ... using Python, SQL, and other tools. - Develop and deploy deep learning models to improve ...

Koantek

Data Scientist

Chandler, AZ

Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms and modern AI/ML toolsets. Strong analytical, problem-solving, and communication skills. Preferred ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data ... Master's degree in a STEM field * 4 years of proficiency in SQL * 4 years of proficiency in Python

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Python, SQL * Libraries & Frameworks:Scikit- learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Republic Services

Data Scientist II

Phoenix, AZ

The Data Scientist II balances AI and analytical rigor, speed of execution, and solution ... Strong proficiency in Python for data analysis, modeling, AI, and solution development. * Strong ...

New

Republic Services

Data Scientist II

Phoenix, AZ · On-site

The Data Scientist II balances AI and analytical rigor, speed of execution, and solution ... Strong proficiency in Python for data analysis, modeling, AI, and solution development. * Strong ...

New

State Farm

Data Scientist

Tempe, AZ · Hybrid

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Tempe, AZ

Python, R, or SAS Other Things We Look For: * Familiarity with experimental design concepts for ... data science solutions in a regulatory environment (e.g., insurance, healthcare, finance). The ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

... Python and SQL. • Demonstrated experience working with modern AI technologies, including deep ... modern data science tools and technologies. • Ability to evaluate model performance, balance ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... in Python, Scikit-Learn, Optuna. • Hands-on experience with Databricks, ML/OPS in Databricks ...

Intel

Data Scientist

Phoenix, AZ

Python programming for frontend and backend system pipeline development including data parsing, ETL ... Execution of data science POCs into scalable and deployable solutions * Working knowledge of GAJT ...

Zenotis Technologies INC

Data Scientist

Phoenix, AZ · On-site

We are seeking a highly analytical and hands-on Data Scientist to join a team building data-driven ... The ideal candidate has strong expertise in Python, SQL, and PySpark , enjoys solving business ...

Oscar Health

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 ...

QuantumClean

Data Scientist

Phoenix, AZ

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 ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

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 ...

Oscar Health

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 ...

Oscar Health

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 ...

next page

Showing results 1-20

All JobsPython Data Scientist JobsPython Data Scientist Jobs in Phoenix, AZ

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 Jul 30, 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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 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:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $115,011 per year, or $55.3 per hour.

Data Scientist

Mondo

Phoenix, AZ • On-site

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Job Title: Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent Compensation: $136,900 - $164,300 Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

Day-to-Day Responsibilities:

  • Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
  • Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
  • Build statistical models to enhance understanding of trends and predict future performance
  • Design experiments and interpret results to draw detailed, actionable conclusions
  • Design, validate, and evaluate solutions using Python, SQL, and other programming tools
  • Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
  • Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
  • Educate and mentor team members on data science best practices, statistical programming, and data preparation

Minimum Requirements:

  • 5 years of experience as a Data Scientist working with large databases to perform complex analysis
  • Master's degree in a STEM field
  • Strong MLOps background - big focus, including carrying models through the full development cycle into live production
  • Must currently reside within commuting distance to Phoenix, AZ
  • 5 years of Python
  • 5 years of SQL
  • Git experience
  • Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
  • Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
  • Strong communication skills and experience working directly with stakeholders
  • Hands-on AI experience (at minimum, active personal use)
Preferred Qualifications:
  • Snowflake
  • AWS
  • Startup mindset
  • Proficiency with Excel and PowerBI
  • Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)