ZipRecruiter

Log In

1

Freelance International Data Science Jobs (NOW HIRING)

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

Jobs for Humanity

Data Science Managers

Piscataway, NJ · On-site

... international collaborations. The visionary appointee will be expected to direct the RCSB PDB and ... and data science professionals, by promoting and exemplifying a culture of diversity, equity ...

next page

Showing results 1-20

All JobsFreelance International Data Science Jobs

Freelance International Data Science information

See salary details

$14

$47

$132

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.
More about Freelance International Data Science jobs
What cities are hiring for Freelance International Data Science jobs? Cities with the most Freelance International Data Science job openings:
What are the most commonly searched types of International Data Science jobs? The most popular types of International Data Science jobs are:
What states have the most Freelance International Data Science jobs? States with the most job openings for Freelance International Data Science jobs include:
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.
Senior Data Scientist - International eKYC, Identity Graph

Senior Data Scientist - International eKYC, Identity Graph

Socure

New York, NY • On-site

$170K - $200K/yr

Full-time

Posted 12 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
The Big Data R&D team builds the core entity‑resolution and graph‑based intelligence that underpins Socure's Verify and KYC products. As a Senior Data Scientist focused on international eKYC, you will be a technical leader driving the next generation of global identity verification solutions. You will design and deploy ML and graph-based systems tailored to diverse international markets, regulations, and data ecosystems-covering government IDs, telco and credit bureaus, mobile-first data, and non‑traditional signals.
You will own complex, cross‑product initiatives such as international identity graph evolution, probabilistic matching for non‑US identities, and scalable evaluation frameworks that account for regional regulatory and fairness constraints. You will closely partner with Product, Engineering, Compliance, and GTM teams to launch and scale eKYC solutions across multiple countries and regions.
What You'll Do
International eKYC Modeling & Entity Resolution
  • Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, country‑specific datasets.
  • Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.
  • Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.

Global Identity Graph & Data Quality
  • Define and evolve the international extension of Socure's identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).
  • Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.
  • Build scalable approaches for handling linguistic and cultural variation (e.g., transliteration, multi‑script names, address normalization, local naming patterns) in the identity graph and matching pipelines.

Evaluation, Experimentation, and Model Governance
  • Own experimentation strategy for major international eKYC initiatives:
  • Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.
  • Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.
  • Analyze lift, stability, and fairness trade‑offs and drive go/no‑go decisions with Product and Engineering.
  • Define and maintain evaluation frameworks specific to international eKYC (e.g., regional coverage maps, cross‑border identity leakage, local demographic impact, regulatory thresholds).
  • Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.

Data Source Strategy & Vendor Evaluation (International)
  • Lead the evaluation and integration of international data vendors (e.g., bureaus, telcos, public records, alternative data):
  • Design benchmarking methodologies for signal quality, incremental value, stability, and fairness by country/segment.
  • Quantify ROI and trade‑offs across multiple vendors and data types; provide clear recommendations that influence product and commercial decisions.
  • Partner with Data Acquisition, Legal, and Compliance to ensure that data usage and modeling approaches meet regional regulatory requirements (e.g., GDPR and local privacy/AML/KYC rules).

Technical Leadership & Cross‑Functional Partnership
  • Collaborate with engineering leaders to design scalable, reliable international data and model pipelines using Spark/PySpark, AWS (EMR, S3, SageMaker, Neptune), and modern MLOps workflows.
  • Act as a subject‑matter expert on international identity, eKYC regulations, and cross‑border data limitations for internal stakeholders, supporting complex customer questions and strategic roadmap discussions.
  • Mentor Data Scientists and Senior Data Scientists on best practices for international modeling: handling low‑label regimes, domain adaptation, localization of thresholds/logic, and building reusable abstractions instead of one‑off country fixes.
  • Communicate strategy, progress, and results to senior leadership and cross‑functional partners through clear documents and presentations, framing complex technical work in terms of business impact, regional risk, and regulatory trade‑offs.
What You Bring
Education & Experience
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • 6+ years of hands-on applied ML / data science experience (4+ with Ph.D.), including owning production models and pipelines in high‑stakes domains (fraud, risk, identity, payments, credit, or similar).
  • Significant prior work on international or multi‑region products is strongly preferred (e.g., cross‑country KYC, credit risk, payments, or compliance systems).

Technical Skills
  • Expert‑level proficiency in Python and SQL, with extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.
  • Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning, including:
  • Feature engineering for noisy/heterogeneous identity data.
  • Robust evaluation under label sparsity and feedback delays.
  • Calibration and thresholding tailored to regional risk and regulatory constraints.
  • Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms (entity resolution, link prediction, community detection, label propagation) at scale.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
Follow Us!
YouTube | LinkedIn | X (Twitter) | Facebook

Apply