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Freelance International Data Science Jobs (NOW HIRING)

Experience Required: * Experience with data engineering, data management, or scientific data ... Support international data harmonization and interoperability efforts. At CSS, we are committed to ...

We are an applied data science team operating in an agile, production-oriented environment, and we ... Reimagining insurance to make a bigger difference to the world American International Group, Inc ...

Experience with data engineering, data management, or scientific data systems.Proficiency in SQL ... Support international data harmonization and interoperability efforts.At CSS, we are committed to ...

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Freelance International Data Science information

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How much do freelance international data science jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for freelance international data science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance International Data Science vs Freelance Data Analyst?

AspectFreelance International Data ScienceFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentRemote, project-based, global clientsRemote or on-site, diverse industries
Common CertificationsData Science certifications (e.g., Coursera, edX)Data analysis certifications (e.g., Microsoft, Tableau)
Industry UsageTech, finance, healthcare, researchMarketing, retail, finance, operations

Freelance International Data Science involves advanced analytics, machine learning, and programming skills, often working on complex projects across various industries. Freelance Data Analysts focus on data cleaning, visualization, and basic analysis, typically in marketing or retail sectors. Both roles are remote and project-based but differ in technical depth and scope.

Can I do freelancing with data science?

Freelance data science involves providing data analysis, modeling, and consulting services independently. Data scientists can work on projects such as data cleaning, visualization, and machine learning using tools like Python or R, often setting their own schedules and rates. Success in freelancing requires strong skills, a portfolio, and the ability to manage client relationships.
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Infographic showing various Freelance International Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Scientist

CSS, Inc

Charleston, SC • On-site

Full-time

Re-posted 24 days ago


Job description

CSS/RPI is seeking qualified candidates to manage, restore, and optimize three scientific databases to support long-term scientific integrity, collaboration, and public access to harmful algal bloom data at the Hollings Marine Laboratory in Charleston, SC.
Experience Required:
  • Experience with data engineering, data management, or scientific data systems.
  • Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize data, and integrate within a federal cyberinfrastructure.
  • Experience with data standards.
  • Demonstrated experience with image processing and spatial data workflows (eg ArcGIS).
  • Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.
  • Read, scope, author, and/or execute code of varying degrees of complexity for automation of data production, analysis, and distribution.
  • Strong organizational skills, time management, and ability to manage multiple priorities in a dynamic environment.
  • Effective team contributor with excellent interpersonal skills.
  • Capable of working independently to meet project objectives and timelines.

Highly Desirable Experience:
  • Experience with ecological /environmental datasets and marine monitoring programs.
  • Familiarity with data sharing platforms (ERDDAP, OBIS).
  • Experience modernizing legacy systems.
  • Demonstrated ability to work individually and as part of a team; highly effective interpersonal skills, as well as strong written and verbal communication competencies.

Phytoplankton Monitoring Network (PMN) Database:
  • Centralize and standardize disparate PMN datasets in a unified structure for archiving into ERDDAP.
  • Develop and maintain scripts for automated data transfer between data platforms.
  • Align datasets with Darwin Core standards to support data sharing.
  • Coordinate with NCCOS and NCEI to advance the development of a GIS enabled data dashboard.
  • Ensure PMN data integrity through accurate documentation, version control, backup, and quality control/quality assurance processes.
  • Develop and maintain metadata standards to meet federal data quality requirements.

Analytical Response Team (ART) Database
  • Restore and modernize legacy database systems (MS Access/SQL-based systems)
  • Migrate data to a sustainable and scalable platform.
  • Implement governance practices to ensure data integrity through documentation, file backup, and quality control.

Intergovernmental Panel on Harmful Algal Blooms (IPHAB) Toxins Database
  • Coordinate with Ocean Biodiversity Information System (OBIS) to incorporate PMN data.
  • Create data pipelines for automated data transfer between PMN and OBIS/IOC platforms.
  • Support international data harmonization and interoperability efforts.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.