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Fintech Data Science Jobs in Austin, TX (NOW HIRING)

FloatMe

Senior/Staff Data Scientist

Austin, TX · On-site

$150 - $190/hr

... moving fintech team, this is the seat for you. What You'll Do * You will turn complex product ... A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

Background in financial services, fintech, or consumer payment products. Minimum Qualifications A ... D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

Background in financial services, fintech, or consumer payment products. Minimum Qualifications A ... D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Apple

Data Scientist, AI/ML Model Quality

Austin, TX

$142K - $263K/yr

Background in financial services, fintech, or consumer payment products. Minimum Qualifications A ... D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

Thatch

Data Scientist, Analytics

Austin, TX · On-site +1

$160K - $200K/yr

We're looking for a Data Scientist to help Thatch make better product, commercial, financial, and ... Working in healthcare, fintech, or other complex, regulated domain. How we work * We move quickly ...

Fliff

Senior Data Scientist

Austin, TX

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... Experience modeling promo and bonus economics in a gaming, fintech, or e-commerce context Benefits:

Fliff

Senior Data Scientist

Austin, TX · On-site +1

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... Experience modeling promo and bonus economics in a gaming, fintech, or e-commerce context Benefits:

Fliff

Senior Data Scientist

Austin, TX · Remote

The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function ... Experience modeling promo and bonus economics in a gaming, fintech, or e-commerce context Benefits:

Apex Fintech Solutions

Solutions Engineer

Austin, TX · On-site

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Real-Time Data Processing: Familiarity with Apache Kafka, AWS Kinesis, or Google Pub/Sub is ...

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Showing results 1-20

All JobsFintech Data Science JobsFintech Data Science Jobs in Austin, TX

Fintech Data Science information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do fintech data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for fintech data science in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

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

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

What are popular job titles related to Fintech Data Science jobs in Austin, TX? For Fintech Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Fintech Data Science jobs in Austin, TX look for? The top searched job categories for Fintech Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Fintech Data Science jobs? Cities near Austin, TX with the most Fintech Data Science job openings:
Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Senior/Staff Data Scientist

FloatMe

Austin, TX • On-site

$150 - $190/hr

Other

Posted 12 days ago

Job description

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the insights and decision frameworks that shape how we grow. You'll own end-to-end execution - analysis, experimentation, forecasting, visualization - and partner closely with our ML Engineers to evaluate model performance and connect risk decisions directly to business impact. If you love turning ambiguous, high-stakes questions into sharp, decision-ready answers and want to set the technical bar for a fast-moving fintech team, this is the seat for you.

What You'll Do

  • You will turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners

  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support

  • Define and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes

  • Partner with Machine Learning Engineers (MLEs) to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact

  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth

  • Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria

  • Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers

  • Lead technical direction and standards - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others

  • Drive localized cross-team impact by partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy

Who You Are

  • 4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.

  • A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is welcomed.

  • Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizations

  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions

  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Bonus Points

  • Fintech background

  • Consumer finance experience (non-large bank environment)

  • Advanced modeling techniques

  • Background in small to medium sized companies

FloatMe is proud to be an equal opportunity employer. FloatMe provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws, and prohibits discrimination and harassment of any type.

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