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 ...
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 ...
We are seeking an Applied Scientist to accelerate the growth of Amazon Internal ... Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that ...
We are seeking an Applied Scientist to accelerate the growth of Amazon Internal ... Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that ...
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 ...
Lead and scale a high‑performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability. * Architect and deploy ...
Lead and scale a high‑performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability. * Architect and deploy ...
We are seeking an Applied Scientist to accelerate the growth of Amazon Internal ... Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that ...
We are seeking an Applied Scientist to accelerate the growth of Amazon Internal ... Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that ...
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 ...
Data Scientist
Seattle, WA · On-site +1
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
Data Scientist
Seattle, WA · On-site +1
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
Sr. Data Scientist
Seattle, WA · On-site
Required : • 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 ...
Sr. Data Scientist
Seattle, WA · On-site
Required : • 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 ...
... applied environment PREFERRED QUALIFICATIONS - Ph.D. in Science, Technology, Engineering, or ... data scientist role with a large technology company - Experience in defining and creating ...
... applied environment PREFERRED QUALIFICATIONS - Ph.D. in Science, Technology, Engineering, or ... data scientist role with a large technology company - Experience in defining and creating ...
Data Scientist, Creative X - Science
Seattle, WA · On-site
$136 - $184/hr
Key Responsibilities: * Design and execute end-to-end data science projects, from problem ... Experience applying theoretical models in an applied environment Preferred Qualifications: * Ph.D ...
New
Data Scientist, Creative X - Science
Seattle, WA · On-site
$136 - $184/hr
Key Responsibilities: * Design and execute end-to-end data science projects, from problem ... Experience applying theoretical models in an applied environment Preferred Qualifications: * Ph.D ...
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 ...
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 ...
... applied environment PREFERRED QUALIFICATIONS - Ph.D. in Science, Technology, Engineering, or ... data scientist role with a large technology company - Experience in defining and creating ...
... applied environment PREFERRED QUALIFICATIONS - Ph.D. in Science, Technology, Engineering, or ... data scientist role with a large technology company - Experience in defining and creating ...
Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability. * Architect and deploy state-of-the-art ...
Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability. * Architect and deploy state-of-the-art ...
AI Data Scientist Expert - Remote
Seattle, WA · Remote
$100 - $200/hr
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 ...
Quick apply
AI Data Scientist Expert - Remote
Seattle, WA · Remote
$100 - $200/hr
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 ...
AI Data Scientist Expert - Remote
Seattle, WA · Remote
$100 - $200/hr
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 ...
Quick apply
AI Data Scientist Expert - Remote
Seattle, WA · Remote
$100 - $200/hr
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 ...
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 ...
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 ...
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 ...
They are seeking a Senior Applied Scientist to design, build, and scale data-driven solutions that ... data science solution. • Work closely with engineering teams to deploy models from prototype to ...
They are seeking a Senior Applied Scientist to design, build, and scale data-driven solutions that ... data science solution. • Work closely with engineering teams to deploy models from prototype to ...
Data Scientist III
Seattle, WA · On-site
... and applied collaboration with research teams and program level efforts. This is a hands-on technical role situated at the interface of translational science, data engineering, and research ...
Data Scientist III
Seattle, WA · On-site
... and applied collaboration with research teams and program level efforts. This is a hands-on technical role situated at the interface of translational science, data engineering, and research ...
Applied Data Science information
See Seattle, WA salary details
$28.1K - $47.6K
7% of jobs
$47.6K - $67.1K
5% of jobs
$67.1K - $86.6K
4% of jobs
$86.6K - $106.1K
3% of jobs
$124.6K is the 25th percentile. Wages below this are outliers.
$106.1K - $125.5K
5% of jobs
$125.5K - $145K
6% of jobs
$145K - $164.5K
8% of jobs
The median wage is $176.1K / yr.
$164.5K - $184K
17% of jobs
$196.4K is the 75th percentile. Wages above this are outliers.
$184K - $203.5K
28% of jobs
$203.5K - $223K
8% of jobs
$223K - $242.4K
6% of jobs
$28.1K
$159.4K
$242.4K
How much do applied data science jobs pay per year?
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?
What are popular job titles related to Applied Data Science jobs in Seattle, WA?
For Applied Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in Seattle, WA look for?
The top searched job categories for Applied Data Science jobs in Seattle, WA are:

Full-time
Re-posted 19 days ago
Job description
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 RoleWe 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.
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Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.
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Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.
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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.
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Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.
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Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.
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Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.
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Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.
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Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.
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Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.
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Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.
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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.
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Represent Socure externally as a thought leader in identity, compliance, and applied AI.
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Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.
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10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.
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Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains.
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Proven leadership experience managing and scaling high-performing data science teams.
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Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems.
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Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.
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Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals.
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Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes.
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Hands-on experience with Apache Spark and large-scale distributed data systems.
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Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.
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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.
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Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.
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Work on some of the most challenging and impactful problems in identity and fraud prevention
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Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents
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Join a fast-moving, high-caliber team that values innovation and ownership
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Competitive compensation, equity, and benefits
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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.
About Socure
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Incline Village, NV, US
Year founded
2012