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Data Scientist Finance Jobs (NOW HIRING)

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 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 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 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 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 ...

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 ...

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 ...

Sr. Data Scientist

Manhattan, NY · On-site +1

$160K - $180K/yr

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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Data Scientist Finance information

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$37.5K

$122.7K

$196.5K

How much do data scientist finance jobs pay per year?

As of Aug 3, 2026, the average yearly pay for 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 a data scientist finance?

A Data Scientist in Finance leverages data analysis, statistical modeling, and machine learning techniques to extract insights from financial data. They work on tasks like risk modeling, fraud detection, algorithmic trading, and customer analytics. Their role involves cleaning and processing large datasets, building predictive models, and providing data-driven recommendations to improve financial decision-making. Strong programming skills in Python or R, experience with databases, and knowledge of finance and economics are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data scientist finance?

To thrive as a Data Scientist Finance, you need a strong background in statistics, data analysis, financial theory, and typically a degree in a quantitative field such as mathematics, finance, or computer science. Proficiency with programming languages like Python or R, expertise in data visualization tools, experience with SQL, and familiarity with machine learning libraries are highly valued, along with certifications such as CFA or FRM being advantageous. Excellent communication, problem-solving, and business acumen are crucial soft skills for conveying analytical insights and collaborating with cross-functional teams. These abilities are essential for delivering actionable financial insights that support strategic decision-making and drive business performance.

What are typical challenges faced by data scientists working in the finance sector?

Data Scientists in finance often work with large and complex datasets that require rigorous data cleaning and validation to ensure accuracy. They must also navigate strict regulatory requirements and data privacy rules, which can impact how data is processed and shared. Additionally, translating complex analytical models into actionable insights for stakeholders who may not have a technical background is a common challenge. Strong problem-solving skills, clear communication, and continuous learning are key to overcoming these hurdles and succeeding in the role.

What cities are hiring for Data Scientist Finance jobs? Cities with the most Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Data Scientist Finance jobs? States with the most job openings for Data Scientist Finance jobs include:
Infographic showing various Data Scientist Finance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Full-time

Re-posted 9 hours 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.