Senior 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.

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 Change Makers 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.

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.

• 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

• 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

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 &…