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

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Running existing scripts (e.g., Python, R, Perl, VBScript) to import, transform, or export data ... Mathematics, statistics, computer science, data science or field directly related to the position.

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ... Utilizing open source language such as R or Python to apply quantitative techniques (e.g ...

Python Tutor

Tucson, AZ · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities include analyzing data, assessing algorithm performance, prototyping new ... Significant experience programming in Python, C/C++, MATLAB or similar languages * Experience ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Analyze data, evaluate existing algorithm performance, develop and prototype new algorithms or ... Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity and ...

New

Scientific Analyst II

Tucson, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Collaborate in the develop and maintenance of reproducible data pipelines using Python, R, and high ... Scientific Communication, Dissemination, and Collaboration: * Compare and contribute to peer ...

Scientist (Algorithm Developer)

Tucson, AZ · On-site

$85K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this position you will analyze data, evaluate existing algorithm performance, develop and ... Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity and ...

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Showing results 1-20

Python Data Scientist information

See Tucson, AZ salary details

$35.5K

$116K

$185.8K

How much do python data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for python data scientist in Tucson, AZ is $116,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $128,600.00 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 job categories do people searching Python Data Scientist jobs in Tucson, AZ look for?

The top searched job categories for Python Data Scientist jobs in Tucson, AZ 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.

$50K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Summary
The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.
Learn more about this agency
Duties
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This announcement is for the DHS-Wide Career Expo in Buffalo, NY. Applicant must register for the Career Expo to apply and be considered. https://www.dhs.gov/homeland-security-careers/expo
This position is in Office of the Chief Data Officer (OCDO), Office of Innovation (INN), Office of Technology & Innovation (OTI), Office of the Inspector General (OIG), Department of Homeland Security (DHS).

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies, processes, algorithms, and systems to extract insights from structured and unstructured data and to provide guidance for data-driven decision making.in support of OIG investigations, audits, and inspections. Typical assignments for GS-7 include:
  • Extracting data from internal/external data sources and provided files using prescribed tools, scripts, or step-by-step procedures; performing basic cleaning tasks; and loading into approved environments.
  • Calculating basic descriptive statistics (e.g., counts, totals, averages, percentages) using spreadsheets or standard software functions and running predefined statistical routines or notebook templates.
  • Creating simple charts, graphs, and tables (e.g., bar charts, line charts, pie charts) in tools such as Excel or introductory business intelligence tools using prepared data.
  • Running existing scripts (e.g., Python, R, Perl, VBScript) to import, transform, or export data according to written instructions.

Typical assignments for GS-9 include:
  • Extracting, cleaning, transforming, and organizing data from internal and external data sources using established tools, scripts, and queries.
  • Applying descriptive statistics (e.g., counts, means, medians, standard deviations), simple inferential techniques (e.g., t-tests, chi-square tests) or standard libraries or built-in functions (e.g. regression, classification, clustering) to answer defined questions.
  • Building and updating dashboards, reports, and visualizations in tools such as Power BI, Tableau, or similar platforms using prepared or team-approved data models.
  • Automating routine manual tasks (e.g., parsing large data files, merging files, recurring data quality checks, scheduled refreshes) to improve efficiency and reduce errors.

Requirements
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Conditions of employment
  • You must be a U.S. citizen to apply for this position
  • You must successfully pass a background investigation
  • You must be able to obtain Secret security clearance
  • Selective Service registration required
  • Completion of one-year probationary period may be required.
  • Submission of Performance Appraisal is mandatory

Qualifications
Minimum Qualifications GS-07: Must have at least one year of specialized experience equivalent to GS-05 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) with close supervision or detailed instructions.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in preparing written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Minimum Qualifications GS-09: Must have at least one year of specialized experience equivalent to GS-07 grade level in the Federal service. Specialized experience for this position includes:
  • Applying basic statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts
    with
    open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line) under supervision or with detailed guidance.
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Assisting in the preparation of written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Education
Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Additional information
DHS offers competitive salaries and an attractive benefits package, including: health, dental, vision, life, and long-term care insurance; retirement plan; Thrift Savings Plan [similar to a 401(k)]; Flexible Spending Account; Employee Assistance Program; personal leave days; and paid federal holidays. Other benefits may include: flexible work schedules; telework; tuition reimbursement; transportation subsidies; uniform allowance; health and wellness programs; and fitness centers. DHS is committed to employee development and offers a variety of employee training and developmental opportunities. For more information, go to the DHS Careers website and select Benefits. Disabled veteran leave will be available to any Federal employee hired on or after November 5, 2016, who is a veteran with a service-connected disability rating of 30 percent or more.
If you receive a conditional offer of employment for this position, you will be required to complete an Optional Form 306, Declaration for Federal Employment, and to sign and certify the accuracy of all information in your application, prior to entry on duty. False statements on any part of the application may result in withdrawal of offer of employment, dismissal after beginning work, fine, or imprisonment.
Additional identical positions may be filled from this announcement at a later date.
Background Investigation: To ensure the accomplishment of our mission, DHS requires every employee to be reliable and trustworthy. To meet those standards, all selected applicants must undergo and successfully pass a background investigation for Secret as a condition of placement into this position.
DHS uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify, including your rights and responsibilities.
The Department of Homeland Security encourages persons with disabilities to apply, to include persons with intellectual, severe physical or psychiatric disabilities, as defined by 5 CFR § 213.3102(u), and/or Disabled Veterans with a compensable service-connected disability of 30 percent or more as defined by 5 CFR § 315.707. Veterans, Peace Corps/VISTA volunteers, and persons with disabilities possess a wealth of unique talents, experiences, and competencies that can be invaluable to the DHS mission. If you are a member of one of these groups, you may not have to compete with the public for federal jobs. To determine your eligibility for non-competitive appointment and to understand the required documentation, click on the links above or contact the Servicing Human Resources Office listed at the bottom of this announcement.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
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Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.