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Fintech Data Scientist Jobs (NOW HIRING)

Kikoff

Data Scientist Operations

San Francisco, CA

About the Role As a Operations Data Scientist at Kikoff, you work closely with cross functional ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Kikoff

Senior Data Scientist

San Francisco, CA

About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rock Connections

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Kikoff

Senior Marketing Data Scientist

San Francisco, CA · On-site

$160K - $260K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

Pipe Technologies

Data Scientist

$150K - $180K/yr

The Role We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the ... You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

LendingTree

Senior Data Scientist

Charlotte, NC · On-site

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

LendingTree

Senior Data Scientist

Charlotte, NC

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

LendingTree

Senior Data Scientist

Charlotte, NC · On-site

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

Nova Credit

Senior Data Scientist

New York, NY · On-site

$168K - $199K/yr

We were named in Forbes' Fintech 50 in 2025 and Built In's Best Places to Work, 2025. Nova Credit ... THE OPPORTUNITY The Senior Data Scientist role will be part of the Data Science team at Nova Credit ...

Nova Credit

Senior Data Scientist

New York, NY · Hybrid

$168K - $199K/yr

We were named in Forbes' Fintech 50 in 2025 and Built In's Best Places to Work, 2025. Nova Credit ... THE OPPORTUNITY The Senior Data Scientist role will be part of the Data Science team at Nova Credit ...

Nasdaq

Data Scientist - Graduate

Boston, MA · On-site

$84K - $147K/yr

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where ... Nice to have: * Work experience in a corporate environment or finance/fintech industry

Clair

Senior (Applied) Data Scientist

New York, NY · On-site

$144K - $181K/yr

We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence.

Nasdaq

Data Scientist - Graduate

Boston, MA · Hybrid

$84K - $147K/yr

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where ... Nice to have: * Work experience in a corporate environment or finance/fintech industry

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How much do fintech data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for fintech 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 are typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

Is data science dead in 10 years?

As a Fintech Data Scientist, the field of data science is expected to evolve rather than become obsolete over the next decade. Advances in machine learning, automation, and data analysis tools will likely expand the role, requiring ongoing learning of programming languages like Python and skills in data management. The demand for data-driven decision-making in finance and technology sectors suggests data science will remain a valuable profession.

What are the key skills and qualifications needed to thrive in the Fintech Data Scientist position, and why are they important?

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

More about Fintech Data Scientist jobs
What cities are hiring for Fintech Data Scientist jobs? Cities with the most Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Fintech Data Scientist jobs? States with the most job openings for Fintech Data Scientist jobs include:
What job categories do people searching Fintech Data Scientist jobs look for? The top searched job categories for Fintech Data Scientist jobs are:
Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 11% Full Time, and 84% Part Time. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist Operations

Data Scientist Operations

Kikoff

San Francisco, CA

Other

Posted 18 days ago

Job description

About the Role

As a Operations Data Scientist at Kikoff, you work closely with cross functional teams including Customer Operations, Product Operations, Product, Engineering, and Data Engineering to make our operations smarter, faster, and more customer-centric. Operations sits at the front line of our customer experience, and you will turn the massive amount of unstructured and structured data generated there into decisions, workflows, and tools that improve both agent and customer outcomes.

This is a high-ownership role. We are looking for someone with an owner mindset who proactively seeks out opportunities to apply a sharper technical and analytical lens to how Ops runs. You will define your own roadmap as often as you execute against someone else's.

Your responsibilities include:

  • Ops AI ownership: Own and evolve Ops AI, our AI agent that helps Ops investigate customer issues and pull accurate data. Design and iterate on the agent's harness (SQL library, memory, context, skills, tools, guardrails), continuously improve its accuracy and expand its use cases as new workflows emerge.
  • Ops Analytics and Measurement: Use data to shape how Ops runs. Define core Ops metrics, build self-serve dashboards and turn unstructured customer data into insights, design and run experiments to turn ops insights into product changes
  • Cross-Functional Collaboration: Partner with Product Ops, CX Ops, and Operation Agents to translate data into decisions, workflows, and tooling that improve customer and agent outcomes.
Qualifications
  • Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • Expert knowledge of SQL
  • Enthusiasm and comfort using AI tools (eg. LLMs, Claude Code) in analytics
  • Strong verbal and written communication skills
  • A humble collaborative can-do attitude, bias to action, and a hunger to apply a technical lens to messy, ambiguous operational problems
  • Solid understanding of statistical analysis, experimentation design, and common ML techniques
  • 1-2 years of data science experience
Nice to Have
  • Enthusiasm and comfort with using AI in analytics or for fintech problems
  • Experience with Machine Learning especially in a production environment

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