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Senior International Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

Opportunity to gain AI expertise and international experience in a rapidly growing market Work-Life ... A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ...

Role overview As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and ...

Opportunity to gain AI expertise and international experience in a rapidly growing market Work-Life ... A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ...

Sr. Data Scientist One of the best-known names in cruising, Princess is the world's leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

Opportunity to gain AIexpertiseand international experience in a rapidly growing market Work-Life ... A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ...

One of the best-known names in cruising, Princess is the world's leading international premium ... We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

One of the best-known names in cruising, Princess is the world's leading international premium ... We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

... the team International Data Science team at Walmart Global Tech is focused on using the latest ... Guides data scientists and senior data scientists across the domain DS team to ensure on-time ...

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Senior International Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior international data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for senior international data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior International Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data modeling, usually supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and cloud platforms like AWS or Azure, along with experience in international data compliance and possibly certifications like Google Professional Data Engineer, is often required. Strong communication, cross-cultural collaboration, and problem-solving skills help you translate complex data insights into actionable global strategies. These skills are vital for effectively analyzing diverse datasets and driving impactful business decisions in a global context.

How does a Senior International Data Scientist typically collaborate with global teams to ensure data consistency across regions?

A Senior International Data Scientist often works closely with data engineers, analysts, and stakeholders across multiple countries to standardize data collection and processing methods. This involves coordinating regular meetings, aligning on data definitions, and implementing centralized data governance practices. They may also lead initiatives to localize machine learning models or adapt analytics solutions to fit regional regulations and cultural nuances. Effective communication and strong project management skills are essential for navigating time zone differences and ensuring seamless collaboration.

What does a Senior International Data Scientist do?

A Senior International Data Scientist is responsible for analyzing complex datasets from multiple countries or regions to generate actionable insights for global business strategies. They work with cross-functional teams to develop predictive models, design experiments, and ensure that data solutions are culturally and regionally relevant. In addition, they address challenges related to data privacy, multilingual data processing, and varying regulatory requirements. Their expertise helps organizations make informed decisions on an international scale and drive business growth in diverse markets.

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

AspectSenior International Data ScientistInternational Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), extensive experienceDegree in data science, statistics, or related field, some experience
Work EnvironmentLeadership roles, project management, strategic planningData analysis, model development, research
Employer & Industry UsageTech companies, finance, consulting firms with senior rolesGlobal organizations, multinational companies, research institutions

The main difference is that a Senior International Data Scientist typically has more experience, leadership responsibilities, and strategic input compared to an International Data Scientist, who focuses more on data analysis and model development at an entry to mid-level.

More about Senior International Data Scientist jobs
What cities are hiring for Senior International Data Scientist jobs? Cities with the most Senior 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 Senior International Data Scientist jobs? States with the most job openings for Senior International Data Scientist jobs include:
Infographic showing various Senior International Data Scientist job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 77% Physical, 10% Hybrid, and 13% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Data Scientist - International eKYC, Identity Graph

Senior Data Scientist - International eKYC, Identity Graph

Socure

Remote

$170K - $200K/yr

Full-time

Posted 3 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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