2

Full Time Data Scientist Finance Jobs (NOW HIRING)

This is a full time role that can be held from one of our US hubs or remotely in the United States ... Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field

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 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 ...

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 ...

... a full-time data scientist to join the data analytics team. Leveraging advanced analytical ... and finance teams to identify opportunities, develop predictive and prescriptive models, and ...

$107K - $115K/hr

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing ...

... our financial services clients banking, Insurance and credit union business in achieve their ... Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2 ...

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 ...

next page

Showing results 1-20

Full Time Data Scientist Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time data scientist finance jobs pay per year?

As of Jul 26, 2026, the average yearly pay for full time 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.

How does a data scientist in finance typically collaborate with other departments to drive business outcomes?

As a data scientist in finance, you’ll regularly work with cross-functional teams such as risk management, product, IT, and compliance. Collaboration often involves translating complex data findings into actionable business insights, developing predictive models for financial forecasting, and communicating results to both technical and non-technical stakeholders. This teamwork is essential for aligning data-driven solutions with regulatory requirements and strategic objectives, ensuring your work has a tangible impact on business performance.

What does a Full Time Data Scientist in Finance do?

A Full Time Data Scientist in Finance analyzes large sets of financial data to uncover trends, build predictive models, and help organizations make informed business decisions. They use statistical analysis, machine learning, and programming skills to interpret complex data related to investments, risk management, fraud detection, and market forecasting. Their work supports financial institutions in optimizing operations, identifying new opportunities, and mitigating risks.

What is the difference between Full Time Data Scientist Finance vs Full Time Data Analyst Finance?

AspectFull Time Data Scientist FinanceFull Time Data Analyst Finance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping models, advanced analytics, machine learning projectsData reporting, trend analysis, financial data interpretation
Employer & Industry UsageFinancial institutions, investment firms, banksBanks, asset management companies, financial services

Full Time Data Scientist Finance focuses on building predictive models and advanced analytics, requiring programming and statistical expertise. Full Time Data Analyst Finance primarily handles data reporting and trend analysis, with a focus on interpreting financial data. Both roles are vital in finance but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as a Full Time Data Scientist in Finance, and why are they important?

To thrive as a Full Time Data Scientist in Finance, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related quantitative field, often supported by a degree in mathematics, statistics, or finance. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and expertise in using financial data platforms are typically required, along with relevant certifications such as CFA or data science specializations. Excellent problem-solving abilities, communication skills, and business acumen set outstanding candidates apart in this role. These skills are crucial for turning complex financial data into actionable insights that drive decision-making and business growth.
More about Full Time Data Scientist Finance jobs
What cities are hiring for Full Time Data Scientist Finance jobs? Cities with the most Full Time 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 Full Time Data Scientist Finance jobs? States with the most job openings for Full Time Data Scientist Finance jobs include:
Infographic showing various Full Time 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.
Data Scientist, Finance

Data Scientist, Finance

Figma

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma's platform helps teams bring ideas to life-whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
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 never been more important. At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models.
We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business.
This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy-helping shape how Figma measures and communicates its performance as the company scales. The data and systems built by this team directly support executive decision-making, public company reporting, and Figma's long-term growth strategy.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
  • 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

We'd love to hear from you if you have:
  • 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

While it's not required, it's an added plus if you also have:
  • 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

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer-provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$140,000-$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
  • Holding interviews in an accessible location
  • Enabling closed captioning on video conferencing
  • Ensuring all written communication be compatible with screen readers
  • Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.