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Director International Data Science Jobs (NOW HIRING)

Walmart

Staff, Data Scientist

Johnson, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Bella Vista, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Greenland, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Cassville, MO

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Tontitown, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Cave Springs, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Farmington, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Elkins, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Pea Ridge, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Gravette, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Centerton, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Goshen, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Elm Springs, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Springdale, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Fayetteville, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Bentonville, AR · On-site

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

Walmart

Staff, Data Scientist

Rogers, AR

$110K - $220K/yr

... Direct the gathering of data, assess data validity and synthesize data into large analytics ... the team International Data Science team at Walmart Global Tech is focused on using the latest ...

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Director International Data Science information

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How much do director international data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for director international data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Director International Data Science, you need advanced expertise in statistical modeling, machine learning, and data analytics, typically supported by a graduate degree in a quantitative field and significant leadership experience. Familiarity with big data platforms (such as Hadoop or Spark), programming languages (like Python or R), and cloud-based analytics tools, along with certifications in data science or project management, is highly valuable. Exceptional communication, cross-cultural leadership, and strategic vision are critical soft skills for managing global teams and aligning data initiatives with business goals. These skills and qualities are essential for driving impactful data-driven decisions and fostering innovation in a complex, international environment.

What does a Director of International Data Science do?

A Director of International Data Science leads data science teams and projects across multiple countries, overseeing the development and implementation of data-driven strategies to support global business objectives. This role involves managing cross-functional teams, standardizing data practices, ensuring compliance with international regulations, and collaborating with stakeholders to drive innovation and business growth. They also play a key role in developing global analytics frameworks and ensuring that data initiatives align with organizational goals.

What is the difference between Director International Data Science vs Data Science Manager?

AspectDirector International Data ScienceData Science Manager
CredentialsAdvanced degrees in Data Science, Statistics, or related fields; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related fields; several years of experience
Work EnvironmentStrategic leadership, cross-cultural teams, global projectsTeam management, project execution, technical oversight
Employer & Industry UsageGlobal corporations, multinational companies, tech firmsTech companies, startups, corporate data teams
Search & Comparison IntentUnderstanding senior leadership roles in international data scienceManaging data science teams and projects

The main difference is that the Director International Data Science focuses on strategic, global leadership and high-level decision-making across international teams, while the Data Science Manager handles day-to-day team management and project execution within a specific region or department.

How much does a director of data science make?

The average salary for a director of data science in the US typically ranges from $130,000 to $200,000 annually, depending on experience, industry, and location. Senior roles often include bonuses, stock options, and other benefits, reflecting the high level of expertise required in data science leadership positions.

How does a Director of International Data Science typically collaborate with cross-cultural teams across different regions?

A Director of International Data Science often leads diverse teams spread across multiple countries, requiring effective cross-cultural communication and coordination. This role involves aligning global strategies with local market needs, managing time zone differences, and fostering collaboration through regular virtual meetings and clear documentation. Building strong relationships with regional stakeholders and understanding cultural nuances are key to ensuring that data-driven initiatives are both globally consistent and locally relevant. Adaptability and strong interpersonal skills are essential for successfully managing these international collaborations.
What cities are hiring for Director International Data Science jobs? Cities with the most Director 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 Director International Data Science jobs? States with the most job openings for Director International Data Science jobs include:
Director International Data Science jobs near you
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 15 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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