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On Call Data Scientist Finance Jobs (NOW HIRING)

Figma

Data Scientist, Finance

Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Figma

Data Scientist, Finance

Figma is a company focused on making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site +1

Figma is growing our Finance Data Science team at a pivotal moment in the company\'s evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site +1

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Cardinal Health

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the ... You will act as the bridge between technical development and financial workflows, ensuring the ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

Our platform combines AI agents, automated financial workflows, and integrated financial products ... This role blends data science, customer analytics, financial analysis, and market insights to ...

Canoe Intelligence

Sr. Data Scientist

Manhattan, NY · On-site +1

Stay up-to-date with industry trends and best practices in data science, finance, and technology. * Work with the Product and Machine Learning teams to develop new strategies for data extraction from ...

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All JobsOn Call Data Scientist Finance Jobs

On Call Data Scientist Finance information

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$37.5K

$122.7K

$196.5K

How much do on call data scientist finance jobs pay per year?

As of Jul 30, 2026, the average yearly pay for on call data scientist finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the salary of data scientist in JP Morgan?

The salary of a Data Scientist at JP Morgan typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced data scientists with advanced skills and certifications can earn higher salaries, often supplemented with bonuses and benefits.

Can a data scientist work in finance?

A data scientist can work in finance by analyzing financial data, developing models for risk assessment, and supporting decision-making processes. Skills in statistical analysis, programming, and tools like Python or R are essential, and familiarity with financial concepts enhances effectiveness in this industry.

Is 40 too late for data science?

For an On Call Data Scientist in finance, starting a career at age 40 is not too late, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge through courses, certifications, and practical projects. Age is less important than your ability to adapt and develop expertise in data analysis, machine learning, and financial modeling.

What is the difference between On Call Data Scientist Finance vs Data Analyst Finance?

AspectOn Call Data Scientist FinanceData Analyst Finance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Statistics, Economics, or related field; typically less emphasis on advanced modeling
Work EnvironmentProject-based, flexible hours, on-demand support for financial modeling and analysisOffice setting, regular hours, routine data reporting and visualization
Employer & Industry UsageFinancial institutions, consulting firms, on-call support for complex data tasksBanks, investment firms, corporate finance departments for ongoing data analysis

The main difference is that On Call Data Scientist Finance provides specialized, on-demand data science expertise for complex financial problems, often with advanced modeling skills. Data Analysts focus on routine data reporting and visualization. The roles overlap in industry and credentials but differ in scope and complexity of tasks.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. On Call Data Scientists in finance often focus on identifying the most impactful variables or data segments to optimize models and decision-making processes efficiently.
More about On Call Data Scientist Finance jobs
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What job categories do people searching On Call Data Scientist Finance jobs look for? The top searched job categories for On Call Data Scientist Finance jobs are:
On Call Data Scientist Finance jobs near you
Infographic showing various On Call Data Scientist Finance job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist, Finance

Figma

Remote

Full-time

Posted 25 days ago

Job description

Job Summary:
Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for financial reporting and collaborating closely with various teams to ensure the accuracy and effectiveness of financial metrics.
Responsibilities:
• Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics
• Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership
• Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams
• Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data
• Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance
• Define, measure, and operationalize key financial and operational metrics
• Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability
• Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business
Qualifications:
Required:
• 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field
• Advanced SQL skills and strong proficiency in Python or a similar programming language
• Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
• Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders
• Experience working independently and driving projects from ambiguity to execution
Preferred:
• Experience with SaaS, subscription-based, usage-based, or consumption-based business models
• Knowledge of accounting concepts and revenue recognition principles (ASC 606)
• Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies
• Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones
• Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields
Company:
Figma is a collaborative design tool that enables teams to create, prototype, and test digital products on one platform. Founded in 2012, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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