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Credit Risk Data Science Jobs in Port Orchard, WA

Microsoft

Data Scientist, Datacenter

Redmond, WA · On-site

The CO+I Demand Planning Data Science team delivers Microsoft's Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence. We are hiring ...

Opendoor

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ... in data science, product analytics, or a similar quantitative role. #LI-RO The pay range for this ...

Weyerhauser Co

Data Scientist

Seattle, WA · On-site

About the Role Grasp the opportunity to apply data science to the physical world of manufacturing ... safety, and risk reduction. * Partner with Product Managers and Operation teams to identify ...

Weyerhaeuser

Data Scientist

Seattle, WA · On-site

$109 - $163/hr

About the RoleGrasp the opportunity to apply data science to the physical world of manufacturing ... safety, and risk reduction.Partner with Product Managers and Operation teams to identify ...

New

Weyerhaeuser Company

Data Scientist

Seattle, WA

About the Role Grasp the opportunity to apply data science to the physical world of manufacturing ... safety, and risk reduction. * Partner with Product Managers and Operation teams to identify ...

Weyerhaeuser Company

Data Scientist

Seattle, WA

About the Role Grasp the opportunity to apply data science to the physical world of manufacturing ... safety, and risk reduction. * Partner with Product Managers and Operation teams to identify ...

Microsoft

Collections Director - Treasury

Redmond, WA · On-site

... credit risk. We are a compliance first organization with customer obsession and deal economics ... Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related ...

OpenDoor

Data Scientist

Seattle, WA · On-site

$169.60 - $233.20/hr

Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how ... data science, product analytics, or a similar quantitative role. The pay range for this role is ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Port Orchard, WA

Credit Risk Data Science information

See Port Orchard, WA salary details

$39.7K

$122.2K

$211.9K

How much do credit risk data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for credit risk data science in Port Orchard, WA is $122,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $150,700.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What cities near Port Orchard, WA are hiring for Credit Risk Data Science jobs?

Cities near Port Orchard, WA with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Port Orchard, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,175 per year, or $58.7 per hour.

Data Scientist, LM Planning, LM Science & Analytics Automation

Amazon

Bellevue, WA

Full-time

Posted 2 days ago

New

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,111 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Have you wondered at the speed at which your Amazon purchase arrived at your door, in that box with a smile. wondered where it came from and how much it cost Amazon to deliver it to you?
Amazon Last Mile Strategic Planning is looking for Sr. Data Scientists, developing solutions to optimize our delivery network topology, strategically maximizing Customer Experience and minimizing cost to serve and increase speed.
You will partner with the Scientific community to help design optimization and strategy

You will also collaborate with technical teams developing automated tools for network flow and execution systems. You will work directly with business leadership and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, translating technical contents to business friendly narrative

Ability to influence across business functions at different levels, including your own team.
You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with data, science, business and technical teams.
Key job responsibilities
-Design and develop mathematical, statistical and optimization models to optimize Delivery Network Topology design..
-Manage several, high impact projects simultaneously
-Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize Delivery Network Topology
-Communicate data-driven insights and recommendations to diverse stakeholders through technical and/or business papers
-Leverage LLMs to improve explainability of optimization and drive engagement from volume planning, demand planning stakeholders
-Define measurement frameworks for optimization solutions where no prior art exists and own the scientific framework for 'Topology Plans' multi-contact journey
-Choose the right methods (statistical, causal, ML, LLM, hybrid) for each problem and justify trade-offs. Drive excellence in evaluation: ground-truth construction with Quality auditors, human audits, precision/recall, drift, calibration, bias, safety, and cost
- Design driver-analysis and bridging methods explaining KPI movement (WoW, MoM, YoY, vs OP2) across dimensions for "why"
- Partner with teams in productionizing; Own AWS tech stack compliancy (Shepherd risk, App Security red-certification, Kale, Legal, Threat Models, for scientific assets)
- Mentor team members; provide promotion assessments; contribute hiring at DS II and DS III

Represent LM Planning in the broader Amazon Data Science community
- Produce design and technical documentation
A day in the life
Review current solutions, assumptions and question the status quo to find improvements.
Drive technical partners adopt improvements, to increase coding velocity, accuracy, quality of scientific solutions. Research for reusable tools/techniques and translate adopting to
About the team
Last Mile is the final mile of Amazon purchase.

We- LM Strategic Planning 'design and plan the Delivery Station Network'. LM network continues to grow multi-fold in North America, AMET, Emerging Market countries, delivering better customer experience and speed to customers. This growth will help Amazon gain most of distribution network share, in every country across the world.

LM Strategic Planning-Science Analytics & Automation provides foundational solutions for network expansion roadmap that looks a 1-5 years horizon.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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