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

TalentBridge

Data Scientist

Phoenix, AZ · On-site

Strong Python programming skills within data science, machine learning, AI, and statistical analysis environments. * Experience conducting exploratory data analysis and building analytical workflows ...

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 ...

Ports North

Data Scientist

Phoenix, AZ · On-site

Data Scientist Position Summary We are seeking a Data Scientist to partner with business ... Python * SQL * Spark * Databricks * Azure Data Lake Storage (ADLS) * SQL data warehouses * Ability ...

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. Preferred ...

Koantek LLC

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.

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 ...

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

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

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 ...

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 ...

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.

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ... Python and SQL. * Demonstrated experience working with modern AI technologies, including deep ...

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Advanced proficiency in Python for data analysis, modeling, AI, and solution development.

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Advanced proficiency in Python for data analysis, modeling, AI, and solution development.

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Advanced proficiency in Python for data analysis, modeling, AI, and solution development.

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

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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 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:

Python Data Scientist jobs near you
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

Phoenix, AZ • On-site

TalentBridge
See more jobs at TalentBridgeexternal

Other

Posted 7 days ago

Key responsibilities

  • Develop, evaluate, and improve statistical, machine learning, and AI models using appropriate performance metrics and analytical methodologies.

  • Perform data cleaning, feature engineering, exploratory data analysis, model evaluation, and support development of LLM-based applications.

  • Translate analytical findings into clear, actionable insights that support business decision-making.

Job description

Data ScientistPosition Summary

The Data Scientist supports internal AI and analytics initiatives by applying data science, machine learning, statistical modeling, and programming expertise to solve business problems. This role focuses on developing, evaluating, and documenting analytical, machine learning, and AI-driven solutions while ensuring results are accurate, explainable, and aligned with business objectives.

A successful candidate will possess a strong foundation in machine learning, statistical modeling, and advanced SQL, and will partner with senior data scientists, analytics engineers, and business stakeholders to translate complex analytical work into actionable business insights.

Principal Responsibilities
  • Develop, evaluate, and improve statistical, machine learning, and AI models using appropriate performance metrics and analytical methodologies.
  • Perform data cleaning, feature engineering, exploratory data analysis, model evaluation, prompt engineering, and support development of LLM-based applications.
  • Apply statistical techniques including hypothesis testing, time series analysis, and experimental or causal analysis to identify trends and measure business impact.
  • Translate analytical findings into clear, actionable insights that support business decision-making.
  • Participate in the full analytics lifecycle, including analysis, validation, deployment support, monitoring, and measurement of results.
  • Contribute to the enhancement and maintenance of existing analytics solutions, machine learning models, and AI applications.
  • Document solution designs, modeling approaches, analytical assumptions, data definitions, and limitations in a clear and reproducible manner.
  • Collaborate with business stakeholders and technical teams to understand requirements, validate outcomes, and ensure solutions meet operational needs.
  • Utilize modern AI and analytics techniques to address business challenges and drive data-informed decision making.
  • Perform other duties as assigned.
Required QualificationsMachine Learning & Modeling
  • Demonstrated experience developing and evaluating machine learning models, statistical models, and predictive analytics solutions.
  • Strong understanding of machine learning concepts, feature engineering, model evaluation, and statistical methodologies.
  • Experience applying advanced statistical modeling, machine learning techniques, and/or AI models to solve business problems.
SQL & Data Analysis
  • Strong SQL skills are required.
  • Proven ability to write complex SQL queries against large relational databases for data extraction, transformation, validation, and analysis.
  • Experience performing complex analysis on large data sets and translating findings into business recommendations.
Programming & Analytics
  • Strong Python programming skills within data science, machine learning, AI, and statistical analysis environments.
  • Experience conducting exploratory data analysis and building analytical workflows using Python and SQL.
Additional Preferred Technical Experience
  • Experience working with cloud-based data platforms and infrastructure such as Snowflake and AWS.
  • Familiarity with version control tools (Git) and collaborative development practices.
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code.
  • Knowledge of Excel and Power BI.
Minimum Requirements
  • Master's degree in an analytical field such as Mathematics, Computer Science, Information Management, Statistics, Engineering, Data Science, or a related discipline.
  • 1+ year of experience using Python and advanced SQL to conduct complex analysis against large datasets.
  • 1+ year of experience building and evaluating machine learning models, statistical models, and/or AI applications.
  • 1+ year of experience working with large databases and performing complex analytical work.
  • Must reside in the Phoenix, Arizona metropolitan area.
  • This is primarily an in office position, with one remote day per week

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