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Applied Data Science Jobs in Seattle, WA (NOW HIRING)

You'll join a team where science meets real-world impact. You'll design and train models for tasks ... We're a cross-functional group of applied scientists, software engineers, data engineers, and ...

You'll join a team where science meets real-world impact. You'll design and train models for tasks ... We're a cross-functional group of applied scientists, software engineers, data engineers, and ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

New

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Qualifications & Required/Preferred Skills * BS+ in Data Science/Statistics/CS/Engineering/Bioinformatics/Computational Biology/Applied Math or related. * 5+ years in data science/ML/applied AI ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in ...

About the team The Prime Video Science team is a multidisciplinary group of applied scientists, data scientists, economists, and engineers. We take on some of the hardest research questions in the ...

Applied Science Manager, Stores-Ads Science

Seattle, WA · On-site

$43K - $59K/yr

We are looking for an Applied Science Manager to lead our Ads Impact initiative. This team owns the ... data science workflows Amazon is an equal opportunity employer and does not discriminate on the ...

Showing results 41-60

Applied Data Science information

See Seattle, WA salary details

$28.1K

$159.4K

$242.4K

How much do applied data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied data science in Seattle, WA is $159,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,760.00 and $198,063.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

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

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.
Infographic showing various Applied Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $159,370 per year, or $76.6 per hour.

Head of Data Science - Identity & Compliance (Seattle)

Socure Inc.

Seattle, WA • On-site

Full-time

Re-posted 19 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

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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