ZipRecruiter

Log In

1

Credit Risk Data Science Jobs in Port Orchard, WA

Weyerhauser Co

Principal 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 ...

PNC Bank

Underwriter IV- LIHTC/Tax Credit

Seattle, WA · On-site

$91K - $202K/yr

If relevant, performs ongoing credit risk management for assigned portfolio. Coaches and/or reviews ... Property Data Analysis, Real Estate Sales Closings and Agreements, Regulatory Environment ...

Kindredventures

Applied Scientist

Seattle, WA · On-site

$120 - $140/hr

... science. What you'll do * Research & Analysis: Perform data research and analysis using Grid ... controlling risk, etc. * Deployment & Iteration: Iterate on new and existing models based on ...

Meta

Data Scientist (Technical Leadership)

Bellevue, WA · On-site +1

$210K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Meta

Data Scientist (Technical Leadership)

Seattle, WA · On-site +1

$210K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Visa

Staff Data Scientist

Bellevue, WA · On-site

$145K/yr

Experience in data science, data engineering, or analytics roles in large-scale environments * Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains * Experience ...

Grid

Applied Scientist

Seattle, WA · On-site

$120 - $140/hr

... science. What you'll do * Research & Analysis: Perform data research and analysis using Grid ... controlling risk, etc. * Deployment & Iteration: Iterate on new and existing models based on ...

Visa

Staff Data Scientist

Bellevue, WA

$145K/yr

Experience in data science, data engineering, or analytics roles in large-scale environments * Experience in payments, fraud, risk, disputes, fintech, or transaction-heavy domains * Experience ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

... science. What you'll do * Research & Analysis: Perform data research and analysis using Grid ... controlling risk, etc. * Deployment & Iteration: Iterate on new and existing models based on ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

... science. What you'll do * Research & Analysis: Perform data research and analysis using Grid ... controlling risk, etc. * Deployment & Iteration: Iterate on new and existing models based on ...

previous page

Showing results 41-60

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.

Senior Data Scientist, Causal Inference

Socotra, Inc.

Seattle, WA • On-site

$136.16 - $170.24/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products.

As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels.

Responsibilities:
  • Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross‑functional stakeholders to deploying production models that address key business problems.
  • Own complex domains and develop long‑term roadmaps to maximize business impact.
  • Build statistical pipelines, write production code, and design/analyze experiments.
  • Participate in the science on‑call rotation to ensure automated campaigns operate successfully.
Experience:
  • Advanced degree in statistics, economics, mathematics, or equivalent industry experience.
  • 4+ years of industry experience in causal inference or data science.
  • Proven ability to apply statistics to unstructured problems and deliver measurable results.
  • Deep technical expertise in causal inference and tackling challenging measurement problems.
  • Expertise in marketing mix modeling is highly preferred.
  • Expertise in SQL and experience with large‑scale data platforms.
  • Proficiency in Python and working within production coding environments.
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in‑office on a hybrid schedule – Team Members are expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected base pay range for this position in the Seattle area is $136,160 - $170,240, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.

#J-18808-Ljbffr

Apply