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International Data Scientist Jobs (NOW HIRING)

Walmart

Staff, Data Scientist

Johnson, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Springdale, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Fayetteville, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Cassville, MO

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Bella Vista, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Greenland, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Elkins, AR · On-site

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Noel, MO

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Lowell, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Cave Springs, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Farmington, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Tontitown, AR · On-site

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Elm Springs, AR · On-site

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Goshen, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Centerton, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Gravette, AR · On-site

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Pea Ridge, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Rogers, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

Walmart

Staff, Data Scientist

Bentonville, AR

$110K - $220K/yr

... International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing ...

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International Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do international data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for international data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What Does an International Data Scientist Do?

An international data scientist works abroad to help businesses get value out of their data. Your responsibilities as an overseas data scientist are to collect data and information, perform data analysis, perform an audit on a business’s data, and evaluate data to help clients find solutions to their business needs. Your other duties as a data science professional working in another country include automating data collection processes, finding valuable data sources, building machine-learning algorithms and predictive models, using data visualization techniques to present information to your clients, and using ensemble modeling to combine data models.

What is an International Data Scientist?

An International Data Scientist is a professional who analyzes and interprets complex data sets from multiple countries or regions to help organizations make data-driven decisions on a global scale. They often work with multicultural teams and handle data that may be subject to different privacy laws and standards. Their role involves building predictive models, data visualization, and developing algorithms that accommodate diverse data sources and languages. International Data Scientists play a crucial role in global companies, supporting strategic decisions, market expansion, and localization efforts.

What are some unique challenges International Data Scientists face when working with global datasets?

International Data Scientists often encounter challenges related to data privacy regulations, language barriers, and cultural differences in data interpretation. Navigating varying data protection laws such as GDPR or CCPA requires a strong understanding of compliance in different regions. Additionally, datasets may contain information in multiple languages or follow diverse formatting standards, necessitating robust data cleaning and localization strategies. Collaborating with global teams also means adapting to different communication styles and time zones, which can impact project timelines and workflow.

What are the key skills and qualifications needed to thrive as an International Data Scientist, and why are they important?

To thrive as an International Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in data modeling, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, machine learning libraries, and experience with global data privacy regulations are typically required. Cross-cultural communication, adaptability, and problem-solving abilities help you collaborate with diverse teams and address region-specific challenges. These skills are critical for extracting actionable insights from complex, multinational data sets and driving impactful business decisions on a global scale.

What is the difference between International Data Scientist vs Data Analyst?

AspectInternational Data ScientistData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes certifications in machine learning or data analysis toolsUsually requires a degree in statistics, mathematics, or related fields; certifications are optional
Work EnvironmentWorks on complex data modeling, predictive analytics, and machine learning across global datasetsFocuses on data cleaning, reporting, and basic analysis within specific projects
Employer & Industry UsageEmployed by tech companies, multinational corporations, and research institutions worldwideCommon in retail, finance, healthcare, and other industries for business insights

International Data Scientists typically handle advanced analytics and machine learning tasks on a global scale, requiring specialized skills and certifications. Data Analysts focus on interpreting data and generating reports for business decisions. Both roles are essential but differ in complexity and scope.

More about International Data Scientist jobs
What cities are hiring for International Data Scientist jobs? Cities with the most International Data Scientist job openings:
What are the most commonly searched types of International Data Scientist jobs? The most popular types of International Data Scientist jobs are:
What states have the most International Data Scientist jobs? States with the most job openings for International Data Scientist jobs include:
What job categories do people searching International Data Scientist jobs look for? The top searched job categories for International Data Scientist jobs are:
International Data Scientist jobs near you
Infographic showing various International Data Scientist job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 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 22 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.
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