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Head Of Data Science Jobs in California (NOW HIRING)

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

Some of the recent projects our Data Science team members have worked on include: * Building ... Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data ...

Some of the recent projects our Data Science team members have worked on include: * Building ... Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data ...

Some of the recent projects our Data Science team members have worked on include: * Building ... Price sensitivity research and competitive market analyses The role Philo is seeking a Head of Data ...

The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the ... science, medical and coaching staff to connect workload, wellness, and performance outcomes ...

As our Head of Data within this portfolio organization you'll be leading and developing best ... Establish data science, engineering and advanced analytics as an organizational capability * Design ...

Head of Data

San Francisco, CA · On-site

$230K - $275K/yr

About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering ... data scientists * Strong technical proficiency with the Modern Data Stack , we use Snowflake, dbt ...

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Working under the direction of the VP of Data Science, you will pick up in-flight models and dashboards and keep them running and accurate. You should be comfortable in a fast-moving environment and ...

... of knowledge that lives in someone's head - then use it to give leadership proactive, org-level visibility into what's breaking before anyone has to ask * Lead the data team: hire and manage a mix of ...

Manager of Data Science

Burbank, CA · On-site

$135 - $150/hr

Working under the direction of the VP of Data Science, you will pick up in‑flight models and dashboards and keep them running and accurate. You should be comfortable in a fast‑moving environment ...

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Head Of Data Science information

See California salary details

$49.5K

$157.8K

$259.5K

How much do head of data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for head of data science in California is $157,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,528.00 and $186,053.00 per year, depending on experience, location, and employer.

What is a head of data science?

The Head of Data Science is responsible for leading a company's data science strategy, managing data teams, and developing advanced analytics solutions to drive business value. They oversee data-driven decision-making, model development, and the deployment of AI/ML technologies. This role requires strong leadership, technical expertise, and the ability to collaborate with cross-functional teams to align data initiatives with business goals.

What are the key skills and qualifications needed to thrive as a head of data science?

To thrive as a Head Of Data Science, you need advanced expertise in machine learning, statistical modeling, and data strategy, usually backed by a graduate degree in a quantitative field and extensive industry experience. Familiarity with programming languages like Python or R, cloud platforms, and tools such as SQL, Spark, or TensorFlow, as well as experience with data governance frameworks, is highly valued. Strong leadership, strategic vision, and communication skills help drive cross-functional collaboration and inspire diverse teams. These skills are crucial for delivering business value, guiding data-driven decisions, and scaling impactful analytics initiatives across the organization.

What are some common challenges faced by heads of data science in their day-to-day work?

A Head Of Data Science often encounters the challenge of balancing technical innovation with business objectives, ensuring that data projects align with overall company goals. They must navigate complex data environments, ensuring data quality and governance while managing teams with varied skill sets. Collaboration across departments, such as engineering, product, and business units, is essential to integrate analytics solutions effectively. Additionally, they are responsible for mentoring team members and communicating complex insights to non-technical stakeholders, which requires both technical depth and strong interpersonal skills.

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

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

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

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

What cities in California are hiring for Head Of Data Science jobs?

Cities in California with the most Head Of Data Science job openings:

Infographic showing various Head Of 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 $157,764 per year, or $75.8 per hour.

Head of Data Science - Identity & Compliance

Socure

San Francisco, CA • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, focusing on verifying identities and preventing fraud. The Head of Data Science will lead the Data Science function to develop AI-powered identity and compliance solutions, managing a team and driving innovation in machine learning and compliance workflows.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
Company:
Socure is a predictive analytics platform for digital identity verification of consumers. Founded in 2012, the company is headquartered in Incline Village, USA, with a team of 501-1000 employees. The company is currently Late Stage.