ZipRecruiter

Log In

1

International Data Science Jobs in California (NOW HIRING)

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in business administration, data science, computer science, statistics, engineering ... international airports), and/or water/wastewater sectors. * Strong knowledge of project controls ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Master's degree in business administration, data science, computer science, statistics, engineering ... international airports), and/or water/wastewater sectors. * Strong knowledge of project controls ...

kgs

Navy SEPASS Data Scientist

Monterey, CA · On-site

Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ... Consortium (OGC), International Standards Organization (ISO) 19000 series for geographic ...

kgs

Navy SEPASS Data Scientist

Monterey, CA

Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ... Consortium (OGC), International Standards Organization (ISO) 19000 series for geographic ...

Koniag, Inc.

Navy SEPASS Data Scientist

Monterey, CA · On-site

$195K - $205K/yr

Master of Science degree: 6-8 years of experience in a related field. * PhD: 3-5 years of ... Consortium (OGC), International Standards Organization (ISO) 19000 series for geographic ...

previous pagenext page

Showing results 21-40

All JobsInternational Data Science JobsInternational Data Science Jobs in California

International Data Science information

See California salary details

$22K

$107.8K

$199.8K

How much do international data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for international data science in California is $107,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,878.00 and $151,780.00 per year, depending on experience, location, and employer.

What is an international data science?

An International Data Science job involves analyzing and interpreting complex data on a global scale to provide insights for multinational organizations. Professionals in this role work with diverse datasets from different countries, ensuring data consistency, compliance with international regulations, and cultural relevance in analyses. They collaborate with global teams to build machine learning models, optimize business operations, and support strategic decision-making. Strong technical skills, cross-cultural communication, and knowledge of regional data privacy laws are essential for success in this field.

What are the key skills and qualifications needed to thrive in international data science?

To thrive in International Data Science, you need strong analytical skills, proficiency in statistical modeling, data analysis, and a relevant degree in fields like computer science, statistics, or mathematics. Familiarity with programming languages such as Python or R, experience with data visualization tools, and credentials like a Certified Data Scientist are highly valuable. Excellent cross-cultural communication, adaptability, and collaboration abilities help you succeed in geographically dispersed teams. These competencies ensure effective data-driven decision-making and smooth project execution across global business environments.

What are some common challenges faced by international data science professionals?

International Data Science professionals often navigate challenges like managing data privacy regulations that vary by country, harmonizing data formats from different regions, and collaborating across time zones. They may also encounter language barriers or cultural differences that impact teamwork and project timelines. Building effective workflows with distributed teams and ensuring consistent data quality are key parts of the role. Overcoming these challenges not only improves efficiency but also provides valuable experience working within global organizations.

What are the most commonly searched types of International Data Science jobs in California?

The most popular types of International Data Science jobs in California are:

What are popular job titles related to International Data Science jobs in California?

For International Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching International Data Science jobs in California look for?

The top searched job categories for International Data Science jobs in California are:

International Data Science jobs near you
Infographic showing various International Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,752 per year, or $51.8 per hour.

Head of Data Science - Identity & Compliance

San Francisco, CA • On-site

Socure
Software Development • 501 - 1,000 employees
Learn more about Socureexternal

$250K - $300K/yr

Full-time

Re-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
We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph.
In addition to advancing core modeling capabilities, you will spearhead the development of intelligent, agent-driven systems that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.
This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.
What You'll Do
  • Own and drive the data science vision for Identity & Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.
  • Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.
  • Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.
  • Drive the development of graph-based intelligence, including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.
  • Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.
  • Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.
  • Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.
  • Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.
  • Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.
  • Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.
  • Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.
  • Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
  • Represent Socure externally as a thought leader in identity, compliance, and applied AI.

What You Bring
  • Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.
  • Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains.
  • Proven leadership experience managing and scaling high-performing data science teams.
  • Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems.
  • Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
  • Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals.
  • Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes.
  • Hands-on experience with Apache Spark and large-scale distributed data systems.
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.
  • Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.
  • Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.

What You'll Get
  • Work on some of the most challenging and impactful problems in identity and fraud prevention
  • Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents
  • Join a fast-moving, high-caliber team that values innovation and ownership
  • Competitive compensation, equity, and benefits
  • Opportunity to shape the future of digital identity at global scale

Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.
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