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Credit Risk Data Science Jobs in Pleasanton, CA (NOW HIRING)

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Super Micro Computer

Sr. Credit Analyst

San Jose, CA · On-site

$98K - $109K/yr

... data and financial statements of new and existing customers to determine credit worthiness, rate credit risk and recommend credit limits • Responsible for setting up customer account and maintain ...

Super Micro Computer

Credit Manager

San Jose, CA · On-site

$120K - $142K/yr

Supermicro ® is a Top Tier provider of advanced server, storage, and networking solutions for Data ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

Super Micro Computer

Credit Manager

San Jose, CA · On-site

$120K - $142K/yr

Supermicro ® is a Top Tier provider of advanced server, storage, and networking solutions for Data ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

CS Power Tech Inc.

Credit Controller

Walnut Creek, CA · On-site

$160 - $200/hr

Credit Risk & Portfolio Management - Lead the company's credit risk and collections strategy ... through automation, data analytics, and scalable business practices. Foster collaborative ...

New

Supermicro

Credit Manager

San Jose, CA · On-site

$120K - $142K/yr

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data ... The Credit Manager will be involved with the daily credit risk optimization requirements and ...

First Citizens Bank

Credit Admin Advisor

Santa Clara, CA · Hybrid

$135K - $145K/yr

Responsibilities Risk Rating Oversight * Develop expertise in commercial credit risk rating ... Identify opportunities to improve user support, workflow efficiency, data quality, issue management ...

First Citizens Bank

Credit Admin Advisor

Santa Clara, CA · Hybrid

$135K - $145K/yr

Responsibilities Risk Rating Oversight * Develop expertise in commercial credit risk rating ... Identify opportunities to improve user support, workflow efficiency, data quality, issue management ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

... Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

... Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit ...

Intuit

Staff Fraud Risk Analyst

Mountain View, CA · On-site

$176K - $238K/yr

... Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit ...

City National Bank

Credit Associate

Walnut Creek, CA · On-site

$34.55 - $55.19/hr

This role involves assisting with credit data analysis, underwriting, and portfolio review activities including facilitating credit risk recommendation. The Credit Associate may be assigned a book of ...

City National Bank

Credit Associate

Walnut Creek, CA · On-site

$34.55 - $55.19/hr

This role involves assisting with credit data analysis, underwriting, and portfolio review activities including facilitating credit risk recommendation. The Credit Associate may be assigned a book of ...

LTD GLOBAL, LLC

Be Seen First

Risk Manager

Berkeley, CA · On-site

$85 - $90/hr

... scientific/aerospace program * Experience with risk registers, workshops, senior-level reviews, and ... Experience integrating risk data with schedules, cost estimates, EAC, and change control * Strong ...

LTD Global

Risk Manager

Berkeley, CA · On-site

$85 - $90/hr

... scientific/aerospace program * Experience with risk registers, workshops, senior-level reviews, and ... Experience integrating risk data with schedules, cost estimates, EAC, and change control * Strong ...

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Showing results 41-60

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Pleasanton, CA

Credit Risk Data Science information

See Pleasanton, CA salary details

$41.2K

$126.7K

$219.8K

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

As of Aug 21, 2026, the average yearly pay for credit risk data science in Pleasanton, CA is $126,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $156,400.00 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 are popular job titles related to Credit Risk Data Science jobs in Pleasanton, CA?

For Credit Risk Data Science jobs in Pleasanton, CA, the most frequently searched job titles are:

What job categories do people searching Credit Risk Data Science jobs in Pleasanton, CA look for?

The top searched job categories for Credit Risk Data Science jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Credit Risk Data Science jobs?

Cities near Pleasanton, CA 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 Pleasanton, CA 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 $126,738 per year, or $60.9 per hour.

Data Science Director (IC)

Meta

Sunnyvale, CA

$253K/yr

Full-time

Re-posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies

Job description

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue. The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
Data Science Director (IC) Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
  • Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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