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

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Advanced Database Engineer

Tucson, AZ · On-site

$167K - $205K/yr

Degree (Bachelor's, Master's, or PhD) in Computer Science, Data Science, Computer Engineering, or ... Proficient in SQL, Python, and shell scripting in Linux environments * Experience with PostgreSQL ...

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Python Data Scientist information

See Tucson, AZ salary details

$36.2K

$118.4K

$189.5K

How much do python data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for python data scientist in Tucson, AZ is $118,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $131,200.00 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 Tucson, AZ?

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

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

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

Infographic showing various Python Data Scientist job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,047 per year, or $55.8 per hour.

Software Engineer - JAVA / Python with Security Clearance

Tucson, AZ • On-site

Associates Systems LLC
Engineering Professional Services • 1 - 10 employees

Other

Medical, Dental, Vision

Re-posted 17 days ago


Job description

All qualified resumes will receive feedback within 24 hours.
Active and transferable U.S. government issued security clearance is required prior to start date.
This effort is on-site. Onsite Tucson, AZ
Employment type: Full Time w-2 or Contract. Depending on the type of employment we can offer benefits: including Health, Dental Vision etc...
Rate: Open to Negotiation DOE
• Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS)
• Prioritize and handle multiple software engineering tasks concurrently
• Troubleshoot software and test equipment instrumentation
• Work in a multidiscipline engineering team environment
• Develop and derive requirements for software products
• Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum 2 years prior relevant experience, or an Advanced degree in a related field.
• Experience in developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic.
• Experience in utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products.
• Experience with Windows Operating System and Microsoft Visual Studio is required.
• Knowledge of computer architecture and computer hardware optimization techniques
• Knowledge of the development of software drivers for the operation of computer hardware interfaces • Knowledge in common computer hardware interface and data protocols such as TCP/IP or UDP
• Knowledge of Unified Modeling Language (UML) to visualize software architecture and design
• Knowledge of software development lifecycles, such as Waterfall and Agile
• Knowledge of Software Configuration Management principles