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Freelance International Data Science Jobs (NOW HIRING)

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... traditional international partners to enable real-time information sharing, dynamic data ...

SOSi

Data Science Lead

Doral, FL

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... traditional international partners to enable real-time information sharing, dynamic data ...

SOSi

Data Science Lead

Doral, FL · On-site

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... traditional international partners to enable real-time information sharing, dynamic data ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... and at our international locations. Each Mayo Clinic location is a special place where our ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... International Assignment No Site Description Just as our reputation has spread beyond our Minnesota ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... and at our international locations. Each Mayo Clinic location is a special place where our ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate ... American International Group, Inc. (NYSE: AIG) is a leading global insurance organization. Founded ...

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

This position will require 10% travel as defined by the business (domestic and/ or international). * Ph.D. in data science, computational biology or related fields, strong scientific mindset, with a ...

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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 Jul 6, 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.

Can I do freelancing in data science?

Freelance data science is a common career path where professionals work independently on projects involving data analysis, machine learning, and statistical modeling. Success typically requires strong skills in programming languages like Python or R, knowledge of data tools, and the ability to manage client relationships and deadlines.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

Which country is best for data science jobs?

For freelance international data science roles, countries with strong tech industries like the United States, Canada, the United Kingdom, Germany, and Australia offer abundant opportunities. These countries typically have high demand for data science skills, competitive salaries, and active remote work markets, making them attractive for freelancers in this field.

Is 40 too late for data science?

For a freelance international data scientist, starting at age 40 is not too late, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant tools like Python, R, and machine learning techniques. Age is less important than your ability to adapt and demonstrate expertise in the field.
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What job categories do people searching Freelance International Data Science jobs look for? The top searched job categories for Freelance International Data Science jobs are:
Freelance International Data Science jobs near you
Infographic showing various Freelance International Data Science job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Science Expert - AI Content Specialist

Alignerr

Chicago, IL • On-site

Other

Posted yesterday

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the next generation of AI thinks and reasons? We're looking for Data Science Experts to help train and refine cutting-edge AI models - working alongside world-leading AI research labs from wherever you are in the world.
This is a fully remote, flexible contract role designed for experienced data scientists, ML engineers, and quantitative researchers who want to do meaningful, intellectually stimulating work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Develop complex, expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Write rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the gold standard for model training
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
  • Refine AI Reasoning
    - Identify logical failures in AI thinking - such as data leakage, overfitting, or mishandled class imbalance - and deliver structured feedback that improves model performance
  • Stress-Test Model Limits
    - Push AI systems to their boundaries across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines
Who You Are
  • Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
  • Strong foundational expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
  • Meticulous attention to detail - from code syntax to mathematical notation to the validity of statistical conclusions
  • Self-directed and comfortable working independently on technical tasks
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with production data science practices such as MLOps or CI/CD pipelines for models
  • Prior work in academic research, technical writing, or quantitative analysis
Why Join Us
  • Work directly with industry-leading large language models and cutting-edge AI research
  • Fully remote and async - work on your own schedule, from anywhere
  • Freelance autonomy with consistent, meaningful technical work
  • Engage with intellectually challenging problems that have a real impact on the future of AI
  • Potential for ongoing contract renewals as new projects launch

Apply