ZipRecruiter

Log In

2

Part Time Python Data Analysis Jobs in New York (NOW HIRING)

next page

Showing results 1-20

All JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in New York

Part Time Python Data Analysis information

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

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

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.
What are the most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What are popular job titles related to Part Time Python Data Analysis jobs in New York? For Part Time Python Data Analysis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in New York look for? The top searched job categories for Part Time Python Data Analysis jobs in New York are:
Part Time Python Data Analysis jobs near you

Remote | Physical Sciences Research Expert -- $75-$110/hour

24-MAG

New York, NY • On-site, Remote

$75 - $110/hr

Part-time, Contractor

Posted 21 days ago

Be an early applicant

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in physical sciences, experimental research, quantitative data analysis, scientific reporting, technical evaluation, and structured scientific review.

This role supports current and upcoming remote consulting opportunities focused on physical sciences research review, scientific task development, experimental-method analysis, quantitative data assessment, technical reporting, and high-quality project execution. Selected professionals will apply their subject-matter expertise to review realistic scientific scenarios, evaluate technical outputs, prepare structured feedback, and support accurate, evidence-based scientific workflow tasks.

Key Responsibilities

Professionals in this role may contribute to:

Scientific Research & Technical Review

  • Review scientific materials involving physical sciences, experimental methods, quantitative analysis, and technical reasoning
  • Evaluate scientific outputs against source materials, research context, methodological standards, and documented review criteria
  • Support structured review of research summaries, scientific explanations, technical reports, experimental scenarios, and analytical workflows
  • Identify missing assumptions, methodological gaps, unclear reasoning, and expected scientific review outcomes

Experimental Methods & Quantitative Data Analysis

  • Review scenarios involving experimental design, measurement workflows, data interpretation, statistical reasoning, and scientific reporting
  • Evaluate quantitative outputs for accuracy, consistency, clarity, and alignment with scientific principles
  • Support structured review of datasets, charts, lab-style documentation, research notes, and technical analysis materials
  • Prepare clear written explanations for scientific conclusions based on source materials and verifiable criteria

Task Development, Evaluation & Structured Feedback

  • Create or review tasks and deliverables based on real-world physical science workflows
  • Provide domain-specific feedback on scientific accuracy, reasoning quality, data interpretation, and technical communication
  • Support evaluation workflows involving model outputs, scientific reasoning, and research-style problem solving
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • Professional experience in physical sciences, experimental research, applied science, scientific analysis, laboratory work, quantitative research, or technical reporting
  • Background in one or more areas such as physics, chemistry, materials science, earth science, atmospheric science, astronomy, applied mathematics, or related scientific fields
  • Familiarity with workflows involving experimental methods, data analysis, scientific reporting, research documentation, and technical evaluation
  • Comfort reading and preparing scientific artifacts such as research summaries, data analyses, experimental notes, technical reports, charts, and methodology descriptions
  • Strong written communication skills
  • Ability to work independently in a remote, project-based environment

Educational Background

  • A degree or professional background in physics, chemistry, materials science, earth science, environmental science, astronomy, applied mathematics, engineering, or a related physical sciences field is helpful
  • Graduate-level research experience, laboratory experience, scientific publications, or applied technical work is highly relevant
  • Equivalent practical experience in scientific research, quantitative analysis, technical reporting, or structured scientific review is also valuable

Nice to Have

  • Experience with experimental research methods, quantitative data analysis, scientific modeling, technical writing, or research publication workflows
  • Familiarity with peer-reviewed literature, scientific datasets, laboratory documentation, measurement methods, uncertainty analysis, or research-quality reporting
  • Experience preparing or reviewing technical reports, research summaries, scientific assessments, benchmark tasks, lab-style workflows, or analytical documentation
  • Strong comfort with spreadsheets, statistical tools, Python, MATLAB, R, scientific software, or domain-specific research tools
  • Strong attention to detail in research-heavy, data-driven, and documentation-focused scientific environments

Why This Opportunity

  • Apply physical sciences expertise to structured remote project work
  • Contribute to high-quality scientific review, technical evaluation, quantitative analysis, and research workflow assessment
  • Work on flexible assignments aligned with your scientific or technical background
  • Use your analytical judgment in a focused, evidence-based review environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $75–$110 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.