Senior Data Scientist

Q2 India; Cary, Northern (NC, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health & Wellness benefits

Volunteer & philanthropy programs

Career development & mentoring

Parental leave

Job summary

Q2 is a leading provider of digital banking and lending solutions, seeking a Senior Data Scientist to own end-to-end data science projects from discovery through production.

You will work with large banking datasets, build ML models and LLM/RAG features, and collaborate with product and engineering teams while mentoring junior members and delivering clear insights through visuals.

Qualifications

• Bachelor’s degree in Data Science, CS, Statistics, or related field.
• 8+ years of related experience, or 6+ with advanced degree.
• Authorized to work in the United States.

Responsibilities

• Explore and engineer features from large banking datasets including loan pricing, relationship profitability, and deal performance data.
• Design and prototype ML models—pricing, deal win likelihood, and anomaly detection—and deploy to production.
• Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval.
• Partner with product and business stakeholders to translate problems into data science solutions and contribute to roadmap prioritization.
• Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems.
• Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI.
• Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences.

Skills

Python

SQL

R

ML libraries

LLM engineering

Git

Team leadership

Vector databases

Cloud platforms

PowerBI

Education

Bachelor’s degree in Data Science, CS, Statistics, or related field

Advanced degree with 6+ years experience

Authorized to work in the United States

Tools

PowerBI

Git

Vector databases

AWS

GCP

Azure

LLM frameworks

Job description

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 through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week—featuring learning, community service, and culture-building experiences—we create opportunities to connect, grow, and make an impact.

The Job At-A-Glance:

Q2’s Relationship Pricing platform, used by thousands of commercial bankers across hundreds of banks of all sizes, empowers bankers to win better deals and grow stronger relationships.

A Typical Day:

• Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance data
• Design and prototype machine learning models — including pricing recommendation, deal win likelihood, and anomaly detection — and see them through to production deployment
• Build and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking data
• Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization
• Collaborate with engineering teams to deploy and maintain production-grade models and analytics systems
• Mentor junior team members and contribute to best practices in modeling, experimentation, and responsible AI
• Communicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiences

Here’s What We’re Looking For:

• Typically requires a Bachelor’s degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6+ years of experience; or equivalent related work experience
• Strong proficiency in Python or R, SQL, and machine learning libraries
• Hands‑on experience with large language models including prompt engineering, RAG and LLM evaluation frameworks
• Proven ability to lead end-to-end data science projects from discovery through production
• Experience writing clean, maintainable code and using version control (e.g., Git)
• Preferred experience: Familiarity with vector databases and embedding-based retrieval
• Preferred experience: Experience with cloud platforms (AWS, GCP, or Azure)
• Preferred experience: Experience with BI tooling (PowerBI or equivalent)
• Preferred experience: Experience with financial services, banking or fintech – commercial banking familiarity strongly preferred
• This position requires fluent written and oral communication in English
• Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

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”

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.

Volunteer & Philanthropy

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.

Equal Opportunity Employer

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. Applicants in California or Washington State may not be exempt from federal and state overtime requirements.

Mission

Q2’s mission is to build strong and diverse communities by strengthening their financial institutions. That mission shapes the technology we build, how we serve our customers, and how we show up for each other.

Vision

We started with a straightforward belief: technology could fundamentally change how financial institutions serve their communities. More than 20 years later, that belief still drives us. Q2 delivers digital banking and lending solutions that help financial institutions deepen relationships, improve experiences, and grow. Across every department and region, Q2 team members bring creativity, collaboration, and purpose to building technology that makes banking stronger, easier, and more human.

Culture & Values

Q2’s culture is built by Q2ers and grounded in ten guiding principles that define how we show up for each other, our customers, and our communities. We take our mission seriously. We also have fun doing it. Teams across the company work together to solve hard problems, move quickly, and make a real impact on the financial institutions and communities we serve. We’re also helping shape how AI is applied in financial services, bringing the same disciplined, banking-first approach Q2 has practiced for more than 20 years to this next chapter of innovation.