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Data Scientist Risk Jobs in California (NOW HIRING)

Meta

Data Scientist, Finance

Menlo Park, CA · On-site

$210K/yr

Meta is seeking a Data Scientist to join the data science team in the Finance organization that ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Tesla

Data Scientist

Fremont, CA · On-site

... risk identification, and exception-based action-routing workflows • Optimize multi-model ... Required : • Degree in Data science, AI, Applied Math, Operations Research, or equivalent ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

... risk assessment.In this role, you willdevelop data-driven and applied machine learning methods to ... Develop and apply data science and machine learning methods to characterize and assess energy ...

Replit

Data Scientist

Foster City, CA · On-site

$150K - $250K/yr

Build churn and retention models to identify at-risk users and inform lifecycle intervention ... Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

... risk assessment.In this role, you willdevelop data-driven and applied machine learning methods to ... Develop and apply data science and machine learning methods to characterize and assess energy ...

LLNL

Energy Resilience Data Scientist

Livermore, CA

... and risk assessment. In this role, you will develop data-driven and applied machine learning ... Develop and apply data science and machine learning methods to characterize and assess energy ...

PayPal

Sr Data Scientist

San Jose, CA · On-site

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... We are looking for a Senior Data Scientist to drive insights and optimization across merchant ...

Verse

Senior Data Scientist

San Francisco, CA

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior ...

Verse

Senior Data Scientist

San Francisco, CA · On-site

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a Senior ...

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

$347K - $400K/yr

Expand risk monitoring into new areas, including cybersecurity threats and model loss-of-control or ... Significant experience in data science or applied analytics in high-stakes domains (e.g., security ...

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

... risk and unlimited upside. We're a fast-growing startup backed by Andreessen Horowitz. As an early ... Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ...

PayPal

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

PeopleConnect

Senior Data Scientist

San Diego, CA · On-site

$120K - $177K/yr

About the Role PeopleConnect is seeking a Senior Data Scientist to leverage advanced analytics and ... risk, and campaign responsiveness. * Apply statistical and machine learning techniques to large ...

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All JobsData Scientist Risk JobsData Scientist Risk Jobs in California

Data Scientist Risk information

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$37K

$121.1K

$193.9K

How much do data scientist risk jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data scientist risk in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What types of projects or problems do Data Scientist Risk professionals typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What is a Data Scientist Risk job?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Scientist Risk position, and why are they important?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What are the most commonly searched types of Data Scientist Risk jobs in California? The most popular types of Data Scientist Risk jobs in California are:
What are popular job titles related to Data Scientist Risk jobs in California? For Data Scientist Risk jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scientist Risk jobs in California look for? The top searched job categories for Data Scientist Risk jobs in California are:
What cities in California are hiring for Data Scientist Risk jobs? Cities in California with the most Data Scientist Risk job openings:
Data Scientist Risk jobs near you
Data Scientist, Finance

Data Scientist, Finance

Meta

Menlo Park, CA • On-site

$210K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the company. These teams are building some of the most cutting edge and transformative AI products in the world that are being rolled out to Meta’s 3 Billion+ users. Building these products and features requires tens of billions of dollars of capital each year over a sustained period of time. Managing and optimizing the deployment of this vast capital and the allocation of these resources requires a team that has technical expertise in AI and Infrastructure along with a solid understanding of data science, finance and operations. This position will use data and analysis to identify and solve product development's biggest challenges and will require an understanding of how AI and Infrastructure are built, operated and used to serve users. This role will help establish the ROI and company-wide prioritization of such investments and work on solving some of the most important technological problems of our times and also ensure that the company makes efficient investments. As an individual contributor, you will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a high-performing analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Finance Responsibilities:
  • Work with large and complex data sets to solve a wide array of problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to build and maintain end-to-end models for long range planning and strategic decisions
  • Build models to compute and explain Infrastructure OPEX and CAPEX costs at the company, product and resource levels
  • Leverage understanding of AI and Infrastructure to develop point-of-view on ROI of investments in Infrastructure and allocation of Infrastructure resources to various products and software platforms
  • Identify and measure success infrastructure investments through goal setting, forecasting, and monitoring of key metrics to understand trends
  • Help define resource allocation policies that are reasonable and actionable from a technical, operational and financial perspective
  • Work with product, engineering and data science teams to do technical, operational and business impact assessments of re-allocation of resources based on changing business needs, competitive landscape and product roadmaps
  • Maintain lineage of decisions around Infrastructure investments and assumptions under which those decisions were made to drive accountability for outcomes across the company
  • Define, understand, and test opportunities and levers to improve the our models, and drive roadmaps through your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • A minimum of 12 years of work experience in analytics (minimum of 8 years with a Ph.D.)
  • Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • 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
  • Master's or Ph.D. degree in a quantitative field
  • Experience working in a data science role at a hyperscaler / public cloud and / or a large customer of a public cloud company
  • Experience partnering cross-functionally with a wide range of teams, dealing with ambiguous and presenting technical content in an easy to understand manner to technical and non-technical teams
  • Knowledge of business outcomes and technology investments and experience connecting them to practical models for decision making

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.
$210,000/year to $281,000/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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