Senior Data Scientist
Q2 Software
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. As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate production systems that power the analytics and insights uncovered from one of the world’s largest commercial banking datasets and play an active role in shaping the product roadmap by identifying where data science and AI can create highest business and user value.A Typical Day:Explore and engineer features from large, complex commercial banking datasets including loan pricing, relationship profitability, and deal performance dataDesign and prototype machine learning models — including pricing recommendation, deal win likelihood, and anomaly detection — and see them through to production deploymentBuild and evaluate LLM-powered features including RAG pipelines, prompt engineering, and embedding-based retrieval over banking dataPartner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritizationCollaborate with engineering teams to deploy and maintain production-grade models and analytics systemsMentor junior team members and contribute to best practices in modeling, experimentation, and responsible AICommunicate findings and model insights through compelling visualizations and presentations to both technical and non-technical audiencesBring Your Passion, Do What You Love. 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 experienceStrong proficiency in Python or R, SQL, and machine learning librariesHands-on experience with large language models including prompt engineering, RAG and LLM evaluation frameworksProven ability to lead end-to-end data science projects from discovery through productionExperience writing clean, maintainable code and using version control (e.g., Git).Preferred experience: Familiarity with vector databases and embedding-based retrievalExperience with cloud platforms (AWS, GCP, or Azure)Experience with BI tooling (PowerBI or equivalent)Experience with financial services, banking or fintech – commercial banking familiarity strongly preferredThis 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 & WellnessHybrid Work OpportunitiesFlexible 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 here 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. 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