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Freelance Python Data Analysis Jobs in Orangeburg, SC

Engineer Data Pipelines: Design and maintain robust Machine Learning and Data Analytics pipelines ... High proficiency in at least one core language (Python, Java, and/or Go) and experience with both ...

Documenting the process for importing of data (MISP, Intel, etc) * Developing custom content for ... Technical input to major service outage root cause analysis and corrective action reports * Leading ...

FPGA Systems Development Engineer

Denmark, SC ยท On-site

$102K - $131K/yr

Constrain FPGA designs and perform timing analysis * Perform FPGA design verification using ... C++, Python and TCL and software design For positions requiring access to technical data, Analog ...

Freelance Python Data Analysis information

See Orangeburg, SC salary details

$12

$56

$82

How much do freelance python data analysis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for freelance python data analysis in Orangeburg, SC is $56.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.85 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What cities near Orangeburg, SC are hiring for Freelance Python Data Analysis jobs?

Cities near Orangeburg, SC with the most Freelance Python Data Analysis job openings:

Human Data Quality Engineer (Founding Team)

North, SC โ€ข On-site

Full-time

Re-posted 29 days ago


Key responsibilities

  • Design the quality frameworks that underpin complex human data programmes, from evaluation rubrics through to launch readiness.

  • Work with clients as a strategic thought partner, challenging annotation schemas and data requirements when they won't produce the signal the model needs.

  • Build scalable quality systems, measurement frameworks and automated checks using Python and SQL.


Job description

Human Data Quality Engineer (Founding Team)ย 

Prolific

Prolific isn't just enabling AI innovation - we're redefining it. While foundational AI technologies are becoming commoditized, Prolific's human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.

The Role

As one of the founding members of Prolific's newly formed AI Data Services team, you'll help build the quality systems behind some of the world's most advanced AI models. Data quality is a strategic priority for Prolific, so this is a high-visibility role with direct exposure to senior stakeholders. This isn't a traditional QA role. We are not looking for someone to review data against a predefined checklist. We are looking for an innovative thinker that can leverage their expertise to define what good means where no definition exists yet.

Acting as a strategic thought partner, you'll work at the intersection of human data, machine learning, evaluation across frontier use-cases that define what high-quality human data looks like for the next generation of advanced AI. This means that much of the work involves novel problems with no established answer, so you'll be comfortable working through ambiguity.. .ย 

Your primary focus is working directly with clients and alongside frontier AI labs, translating what their models need into robust human data and evaluation strategies. Rather than checking quality at the end of a project, you'll engineer quality into every stage of the lifecycle, from study design and participant strategy through to evaluation, launch readiness and client delivery.You will also work alongside our product engineering, and supply teams to define and build the quality infrastructure that will enable us to deliver high quality human data at scale.

Much of the work you'll tackle won't have an existing playbook. You'll help create it.

What You'll Be Doing

  • Design the quality frameworks that underpin complex human data programmes, from evaluation rubrics through to launch readiness.
  • Work with clients as a strategic thought partner, challenging annotation schemas and data requirements when they won't produce the signal the model needs.ย 
  • Advise on project design and how the choice of schema can impact data quality.
  • Build quality upstream across the operational workflow, from recruitment, screening, and training through to writing guidelines and running calibration sessions.ย 
  • Build scalable quality systems, measurement frameworks and automated checks using Python and SQL.
  • Partner with product and engineering to build the quality infrastructure that delivers high-quality human data at scale.
  • Investigate data quality and integrity issues, identifying root causes and turning insights into scalable improvements.
  • Architect and build dashboards, monitoring and reporting that provide clear visibility into quality and operational performance.
  • Raise the quality capability across the company, upskilling operations and acting as a thought mentor to junior analysts.
  • Help define how Prolific approaches quality across new AI domains, shaping best practice as the team grows.

What You'll Bring to the Role

  • 5+ years of experience in building quality, evaluation or annotation systems within AI, machine learning, LLMs or human data environments.
  • Strong Python and SQL skills, with a passion for using data to solve complex quality problems.
  • A solid understanding of machine learning pipelines and how human data impacts model performance.
  • Strong analytical and statistical thinking, with experience designing scalable quality frameworks.
  • The confidence and credibility to interact with stakeholders at frontier labs and act as a partner.
  • The ability to leverage your experience and expertise to influence and guide stakeholders at every level, both client side and internally. in
  • The ability to turn your own data analysis and quality methodology into requirements that product and engineering can build into systems.
  • The ability to explain yout data analysis and findings clearly to non-technical stakeholders, so they can act on them.ย 
  • A proactive, builder's mindset -you enjoy creating new systems, navigating ambiguity and improving how things work.
    Even Better if you have:
  • Experience with LLM evaluation, RLHF, AI safety or red teaming.
  • Experience translating vague model or evaluation goals into clear annotation specifications.ย 
  • Experience working with human annotation programmes or human data operations.
  • Familiarity with calibration, inter-rater agreement, drift detection or other evaluation methodologies.

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breath and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research.

Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role's location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.