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Remote Data Scientist Finance Jobs (NOW HIRING)

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

$348K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

$149K/yr

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

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 ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... Finance, Insurance, and other industries. Today, we're growing fast and excited for new teammates ... As a Data Scientist, you will be working with our engineering team to model complex problems and ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... science, finance, financial analysis, assortment planning, retail, procurement/purchasing ...

Attain Finance

Senior Data Scientist

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Sr. Data Scientist, you will be working on generating insights from raw data, designing and ... AttainFinance #remote #CURO #remote EEO Statement Attain Finance Supports Equal Employment ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience working in a fully remote data science role within a government contracting environment. Required Skills and Competencies: * Exceptional communication skills in English - both written and ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241352 Location: Washington,DC,US Share job via: Share Data Scientist ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Norstella

Senior Data Scientist

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... local and remote data sources * Architect robust, scalable APIs and microservices to serve AI ... legal, financial services, or energy) * Graduate degree in Computer Science, Engineering ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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Remote Data Scientist Finance information

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$37.5K

$122.7K

$196.5K

How much do remote data scientist finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a remote data scientist in finance, and why are they important?

To thrive as a Remote Data Scientist in Finance, you need strong statistical analysis, programming (Python or R), and financial domain knowledge, often supported by a degree in data science, finance, or a related field. Familiarity with machine learning frameworks, SQL databases, and data visualization tools like Tableau or Power BI is typically required. Excellent problem-solving, self-motivation, and clear communication are standout soft skills for remote collaboration and translating insights to stakeholders. These skills and qualities are crucial for extracting actionable insights from complex financial data, driving informed decision-making, and succeeding in a remote work environment.

How do remote data scientists in finance typically collaborate with cross-functional teams?

Remote data scientists in finance regularly work with teams such as risk management, engineering, and business analysts using digital collaboration tools. Communication is often structured through virtual meetings, shared dashboards, and project management platforms to ensure everyone stays aligned on data-driven goals. Strong documentation practices and proactive communication are essential in a distributed environment to clarify requirements and share insights. This collaborative approach helps ensure that models and analyses are actionable and meet the needs of various stakeholders.

What does a remote data scientist in finance do?

A Remote Data Scientist in Finance analyzes large financial datasets to uncover trends, create predictive models, and support decision-making from a distance, usually working from home or another remote location. They use statistical methods, machine learning, and programming to identify insights that can help financial institutions manage risk, detect fraud, optimize investments, and improve operations. Their work often involves collaborating with other teams virtually, presenting findings, and ensuring data-driven strategies align with business goals.

Can a remote data scientist work in finance?

A remote data scientist can work in finance by analyzing financial data, developing predictive models, and supporting decision-making processes. Skills in programming, statistical analysis, and tools like Python, R, or SQL are essential, and remote roles often require strong communication and collaboration abilities.

What is the difference between Remote Data Scientist Finance vs Remote Data Analyst Finance?

AspectRemote Data Scientist FinanceRemote Data Analyst Finance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of financeBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentAdvanced analytics, modeling, machine learning projects in financeData reporting, trend analysis, and basic visualization in finance
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial services

Remote Data Scientist Finance roles focus on developing predictive models and advanced analytics, requiring programming and statistical expertise. Remote Data Analysts Finance primarily handle data reporting and basic analysis. Both roles are vital in finance but differ in complexity and skill requirements.

More about Remote Data Scientist Finance jobs

What cities are hiring for Remote Data Scientist Finance jobs?

Cities with the most Remote 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 Remote Data Scientist Finance jobs?

States with the most job openings for Remote Data Scientist Finance jobs include:

What job categories do people searching Remote Data Scientist Finance jobs look for?

The top searched job categories for Remote Data Scientist Finance jobs are:

Remote Data Scientist Finance jobs near you
Infographic showing various Remote Data Scientist Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist, Finance

Figma

Remote

Full-time

Re-posted 14 hours ago

Job description

Job Summary:
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 financial reporting, forecasting, and strategic decision-making while collaborating with various teams to ensure data accuracy and operational efficiency.
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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