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Part Time Pandas Jobs (NOW HIRING)

Squirl Financial Inc

Software Engineer

Detroit, MI · On-site +1

We are looking for a part-time Software Engineer who will assist us with the design, development ... pandas, numpy, sci-kit learn, etc.) * Excellent knowledge of REST APIs, timeseries databases, and ...

Mass General Brigham

Research Assistant I

Boston, MA · On-site

$21 - $29.01/hr

... pandas, numpy, scikit-learn, and statsmodels. * Familiarity with dietary assessment data (e.g ... Working Conditions * Part-time position (~10-20 hours/week); schedule can be arranged within ...

TEGNA Inc.

Director, AI & Automation

New York, NY · On-site

$175K - $200K/yr

Advanced SQL and strong Python skills (Pandas, PySpark) for data manipulation and pipeline ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Pandas information

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$37.5K

$122.7K

$196.5K

How much do part time pandas jobs pay per year?

As of Jul 16, 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 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 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 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.
More about Part Time Pandas jobs
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:
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Part Time Pandas jobs near you
Infographic showing various Part Time Pandas job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Adjunct Associate Faculty, Analytics for Business Operations Management (On-Campus, Fall '26)

Adjunct Associate Faculty, Analytics for Business Operations Management (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Posted 19 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate-
level course in Analytics for Business Operations Management. An Associate is a faculty line junior to a
Lecturer that provides subject matter expertise and supports the instructional process for a course
section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at
Columbia University.
This course teaches students how to apply analytical techniques to optimize operational decision-
making, improve efficiency, and solve real-world challenges in operations management. Students will
develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation,
optimization, inventory analysis, project management, supply chain management, and lean operations.
The course integrates lectures and coding exercises to ensure a balance between conceptual learning
and practical application across multiple industries.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to Operations Management, Business Analytics, Industrial
    Engineering, Operations Research, Data Science, or a related field.
  • 3+ years of professional experience in a role involving applied analytics, operations
    management, supply chain management, finance, marketing research, or related industries.
  • Strong understanding of Operations Management concepts such as forecasting, queuing theory,
    optimization, and simulation.
  • Proficiency in data analysis using Python and familiarity with tools such as Jupyter Notebook,
    NumPy, Pandas, and Matplotlib.

Preferred Skills & Experience
  • University teaching experience.
  • Experience applying Python to real-world operations management problems.
  • Ability to mentor students and provide constructive feedback on analytical work.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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