ZipRecruiter

Log In

1

Fintech Data Scientist Jobs in Texas (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 ... to align Data Science work with broader strategy Who You Are * 4+ years applying AI, machine ...

FloatMe

Senior/Staff Data Scientist

San Antonio, TX · On-site

$140 - $190/hr

... moving fintech team, this is the seat for you. What You'll Do * You will turn complex product ... to align Data Science work with broader strategy Who You Are * 4+ years applying AI, machine ...

Thatch Health

Data Scientist, Analytics

Austin, TX · On-site

$160 - $200/hr

Data Scientist, Analytics at Thatch Location Austin, Texas, United States; New York, New York ... Working in healthcare, fintech, or other complex, regulated domain. How we work * We move quickly ...

One Park Financial

Senior Data Scientist

Plano, TX · On-site

$120 - $180/hr

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

One Park Financial

Senior Data Scientist

Plano, TX · On-site

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

One Park Financial

Senior Data Scientist

Plano, TX · On-site

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

One Park Financial

Senior Data Scientist

Plano, TX

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to ...

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 · 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 · On-site

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:

SentiLink Corp

Research Scientist, PhD New Grad

Austin, TX · On-site

$120 - $220/hr

... Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner ... This is a full‑stack data science role, involving model development, analysis, and writing ...

next page

Showing results 1-20

All JobsFintech Data Scientist JobsFintech Data Scientist Jobs in Texas

Fintech Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do fintech data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for fintech data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

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.

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 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.

Is data science good for fintech?

Data science is highly valuable for fintech, as it enables the development of advanced algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data scientists to analyze large datasets, use machine learning tools, and improve decision-making processes to stay competitive in the industry.

Is fintech a high paying career?

Fintech data scientists typically earn higher salaries compared to many other data science roles due to the industry's fast growth and demand for specialized skills like machine learning and financial modeling. Salaries can vary based on experience, location, and company size, but they generally offer competitive compensation packages within the tech and finance sectors.

What are the most commonly searched types of Fintech Data Scientist jobs in Texas?

The most popular types of Fintech Data Scientist jobs in Texas are:

What are popular job titles related to Fintech Data Scientist jobs in Texas?

For Fintech Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Fintech Data Scientist jobs in Texas look for?

The top searched job categories for Fintech Data Scientist jobs in Texas are:

What cities in Texas are hiring for Fintech Data Scientist jobs?

Cities in Texas with the most Fintech Data Scientist job openings:

Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior/Staff Data Scientist

FloatMe

Austin, TX • On-site

$150 - $190/hr

Other

Re-posted 6 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.

#J-18808-Ljbffr

Apply