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Part Time Pandas Jobs (NOW HIRING)

TripleTen

$40 - $150/hr

You can join us on a part-time basis (~10-15h/week), contributing as an instructor leading live ... Scikit-learn, Pandas, NumPy , and familiarity with numerical methods and forecasting libraries

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How much do part time pandas jobs pay per year?

As of May 31, 2026, the average yearly pay for part time pandas in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part-Time Pandas Data Analyst, and why are they important?

To thrive as a Part-Time Pandas Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of data manipulation and analysis, typically backed by coursework or experience in statistics or data science. Familiarity with the Pandas library, Jupyter Notebook, and data visualization tools like Matplotlib or Seaborn is commonly required. Attention to detail, problem-solving abilities, and effective communication help you deliver actionable insights and work well with stakeholders. These skills ensure accurate data processing, clear reporting, and meaningful contributions to data-driven decision-making.

What are some common challenges faced by part-time data analysts working with Pandas, and how can they be addressed?

Part-time data analysts using Pandas often face challenges related to time management and staying updated with evolving tools and libraries. Since part-time roles may limit the hours available for deep analysis or learning new features, it's important to prioritize tasks and focus on building strong foundational knowledge of Pandas. Regular communication with team members helps ensure alignment on project goals and efficient handoffs. Leveraging documentation and participating in knowledge-sharing sessions can also help part-time analysts stay current and effective in their role.

What are Part Time Pandas?

Part Time Pandas typically refers to individuals who work with the Pandas data analysis library in Python on a part-time basis. These professionals may analyze data, clean datasets, or build reports using Pandas, but do so as part-time employees or contractors. Their responsibilities can include data manipulation, visualization, and supporting data-driven decision-making, often for businesses or research projects. Part-time Pandas specialists are often hired for flexible schedules, short-term projects, or to supplement full-time data teams.

What is the difference between Part Time Pandas vs Part Time Data Analysts?

AspectPart Time PandasPart Time Data Analysts
Required SkillsPython, data manipulation, pandas libraryExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote or freelance projects, tech-focusedOffice or remote, business or corporate settings
CertificationsPython programming, data analysis coursesData analysis certifications, Excel/SQL skills
Industry UsageTech, startups, freelance projectsBusiness, finance, marketing sectors

Part Time Pandas primarily involves data manipulation using Python and the pandas library, often in freelance or remote settings. In contrast, Part Time Data Analysts typically work with Excel, SQL, and visualization tools in business environments. While both roles require data skills, Part Time Pandas focuses on programming and coding, whereas Part Time Data Analysts emphasize analytical and reporting skills.

What cities are hiring for Part Time Pandas jobs? Cities with the most Part Time Pandas job openings:
What are the most commonly searched types of Pandas jobs? The most popular types of Pandas jobs are:
What states have the most Part Time Pandas jobs? States with the most job openings for Part Time Pandas jobs include:
Part Time Pandas jobs near you

Civil Engineer & Python Expert - Freelance AI Trainer

Mindrift

Dallas, TX

$69/hr

Part-time

Posted 4 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational engineering problems that simulate real engineering workflows;
  • Create problems requiring Python programming to solve engineering calculations and simulations;
  • Ensure problems are computationally intensive and require numerical methods or iterative solutions;
  • Develop problems involving system design, optimization, and analysis;
  • Base problems on real research challenges or practical applications from engineering practice;
  • Verify solutions using Python with standard engineering libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Civil Engineering or related fields;
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Understanding of practical engineering constraints and approximations;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply