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Financial Data Scientist Jobs (NOW HIRING)

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Omniscius

Data Scientist

Washington, DC · On-site

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Omniscius

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Unchain Data

Data Scientist

Miami, FL · On-site

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... veterans of energy, finance, and government. * Debate ideas and alternatives in a truly ...

Unchain Data

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... veterans of energy, finance, and government. * Debate ideas and alternatives in a truly ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

US Mobile

Data Scientist (Cost Optimization)

New York, NY · On-site

$140K - $190K/yr

Data Scientist, Cost Optimization** to own the unit economics of our network costs. You'll build ... Validate cost models against carrier invoices and financial data; investigate and resolve ...

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team. The Data Scientist ...

Autodesk

Data Scientist, FP&A Solutions

Portland, OR · On-site

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Autodesk

Data Scientist, FP&A Solutions

Ontario, CA · On-site +1

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

Autodesk

Data Scientist, FP&A Solutions

OR · On-site +1

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to automate financial analysis, develop forecasting and predictive models, build scalable data ...

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All JobsFinancial Data Scientist Jobs

Financial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do financial data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for financial data scientist 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 does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

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

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

More about Financial Data Scientist jobs

What cities are hiring for Financial Data Scientist jobs?

Cities with the most Financial Data Scientist job openings:

What states have the most Financial Data Scientist jobs?

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

What are popular job titles related to Financial Data Scientist jobs?

For Financial Data Scientist jobs, the most frequently searched job titles are:

Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Cost Optimization)

Manhattan, NY • On-site

US-Mobile
See more jobs at US-Mobileexternal

$140K - $190K/yr

Other

Posted 24 days ago

Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.


We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — we’re The Wirecutter’s favorite cellular carrier, and Consumer Reports has named us the top-rated mobile carrier two years in a row.*


And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.


We’re looking for a **Data Scientist, Cost Optimization** to own the unit economics of our network costs. You’ll build the models and optimizations that decide the most cost-efficient configuration for every line on our networks, validate those models against real financial data, and turn your analysis into decisions the business acts on. This is decision science more than machine learning — and business judgment matters as much as the math.


Responsibilities:

  • Build and run the cost models and optimizations that determine the most efficient plan configuration across our subscriber base.

  • Validate cost models against carrier invoices and financial data; investigate and resolve discrepancies.

  • Monitor, forecast, and manage pooled usage and network spend, recommending corrective actions with quantified impact.

  • Model pricing and contract scenarios on actual usage data to support commercial decision-making.

  • Move recommendations into production through automated, auditable workflows, and verify outcomes.

  • Design, build, and maintain the underlying data models using dbt, Redshift, and related tools.

  • Use AI tooling to accelerate modeling, analysis, SQL/dbt work, and documentation.


Requirements:

  • 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics — ideally where your recommendations carried real financial impact.

  • Hands‑on experience formulating and solving optimization problems (linear programming, cost modeling, marginal‑cost analysis, or similar) that informed real business decisions.

  • Strong business judgment, with experience owning a commercial or cost recommendation end‑to‑end.

  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.

  • Proficiency in Python.

  • Experience validating analytical models against external financial data (invoices, bills, or settlements).

  • Demonstrated use of AI in your day‑to‑day workflow — LLM‑assisted coding or prompt‑driven data exploration.

  • Strong communication skills, with a bias toward clear recommendations and measurable business impact.


Nice to Have:

  • Telecom, MVNO, or other usage‑based/wholesale cost domain experience; cloud cost management (FinOps).

  • Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar).


Benefits and Perks:

  • Annual company offsite and hackathon in a global destination. Past locations include Dubai, Japan, and Hawaii, with New Zealand planned for 2027

  • Competitive Salary

  • Gym reimbursement

  • Commute reimbursement

  • Flexible working hours

  • Professional development stipend

  • Flexible time off

  • Cell phone service (up to $100/mo)


$140,000 - $190,000 a year


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