Data Scientist

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple : build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

The Job At-A-Glance :

The Risk & Fraud team at Q2 is responsible for helping our customers take a proactive stance against fraud and managing the risks of their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value for our customers. Our solutions enable them to focus more of their time and energy on their mission : best serving their customers and communities.

A Typical Day :

As a Data Scientist on the team, you will work on challenging problems and own projects from end-to-end. You will work closely with other data scientists, machine learning engineers, and software engineers to deliver valuable solutions to our customers. In addition, there is opportunity to grow into technical leadership, helping to build new architecture and improve tooling and processes for the team.

Your key responsibilities :

Problem definition and requirement refinement.

Data exploration, solution prototyping, and model development.

Understanding and troubleshooting adjacent systems, including upstream data pipelines and downstream UIs.

Testing, monitoring, gathering feedback from customers, and bug fixes.

You are more likely to excel in the role if you :

Enjoy autonomy in your work and feel a sense of ownership in the team’s goals. You work quickly but with the big picture in mind.

Have empathy for the end user and a desire to measure your work by both the customer value and technical quality.

Have enthusiasm for the field and professional development.

Bring Your Passion, Do What You Love. Here’s What We’re Looking For :

Typically requires a Bachelor’s degree in a relevant field and a minimum of 2 years of related experience; or an advanced degree; or equivalent related work experience.

Proficient in Python and SQL

Familiarity with cloud-native, service-oriented architectures.

Experience with most aspects of the software development life cycle.

Version control with Git.

Experience with machine learning algorithms and packages

Health & Wellness

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Programs

Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

Community Volunteering & Company Philanthropy Programs

Employee Peer Recognition Programs – “You Earned it”

Click to find out more about the benefits we offer.

Our Culture & Commitment :

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.