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Head Data Scientist Jobs in Bothell, WA (NOW HIRING)

Head of Credit Products

Seattle, WA · On-site

$285K - $310K/yr

Partner with Data Science, Engineering, and Data teams to design scalable product capabilities ... a "Head of" product leadership position at Socure. Socure is an equal opportunity employer that ...

We partner deeply with growth, data science, analytics, data engineering, creative, finance and other marketers to deliver profitable growth via paid media. What you'll do As Head of Self-Serve Paid ...

We are seeking an experienced and strategic finance leader to serve as the Head of Finance, M12 ... Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or ...

Partner with digital, data science, and technology teams to design, build, validate, and deploy AI-powered tools and platforms. * Establish frameworks for scalable AI solutions that integrate into ...

Head of AI Clinical Excellence

Bothell, WA · On-site

$89K - $121K/yr

Partner with digital, data science, and technology teams to design, build, validate, and deploy AI-powered tools and platforms. * Establish frameworks for scalable AI solutions that integrate into ...

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Showing results 1-20

Head Data Scientist information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

How much do head data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for head data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a head data scientist?

Head Data Scientists are senior professionals who lead data science teams in analyzing large datasets to extract insights, drive decision-making, and solve complex business problems. They set the strategic direction for data science initiatives, collaborate with other departments, and ensure that data-driven solutions align with organizational goals. In addition to overseeing technical work, they also mentor team members, manage projects, and often communicate findings to executive leadership.

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

A Head Data Scientist needs deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, cloud platforms, big data tools, and experience leading data science projects are crucial. Strong leadership, strategic thinking, and communication skills help guide teams and align data initiatives with business goals. These competencies ensure effective team management, innovative solutions, and measurable business impact from data-driven strategies.

How does a head data scientist typically balance hands-on technical work with leadership responsibilities?

As a Head Data Scientist, you'll often split your time between high-level strategy, team leadership, and advanced technical problem-solving. While you'll guide project direction, mentor junior scientists, and collaborate with stakeholders, you'll also be expected to stay engaged with the latest analytical techniques and occasionally contribute directly to model development or code reviews. Striking this balance requires excellent time management and the ability to delegate effectively while ensuring technical standards remain high. Regular communication with both your team and other departments is essential to align data initiatives with business goals.

What is the difference between Head Data Scientist vs Data Scientist?

AspectHead Data ScientistData Scientist
CredentialsMaster's or PhD in Data Science, Statistics, or related fieldsBachelor's or Master's in relevant fields
Work EnvironmentLeads teams, strategic planning, oversees projectsExecutes data analysis, builds models, reports findings
Industry UsageCommonly found in organizations with large data teamsWidespread across industries for data analysis roles

The Head Data Scientist focuses on leadership, strategy, and overseeing data initiatives, while the Data Scientist primarily handles hands-on data analysis and modeling. Both roles require strong technical skills, but the Head Data Scientist has additional responsibilities in team management and strategic planning.

What are the most commonly searched types of Data Scientist jobs in Bothell, WA?

The most popular types of Data Scientist jobs in Bothell, WA are:

What job categories do people searching Head Data Scientist jobs in Bothell, WA look for?

The top searched job categories for Head Data Scientist jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Head Data Scientist jobs?

Cities near Bothell, WA with the most Head Data Scientist job openings:

Head of Data Science - Identity & Compliance

Socure

Seattle, WA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Socure is building the identity trust infrastructure for the digital economy, and they are seeking a Head of Data Science to lead the development of AI-powered identity and compliance solutions. This role involves owning the data science vision, leading a high-performing team, and driving innovation in machine learning and compliance strategies.
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.