Senior Data Scientist

Summary

Join interface.ai, a leading AI provider for banks and credit unions, as a Senior Data Scientist. You will lead the development of scalable, production-grade models and analytics systems for our core platform. This high-impact role involves working on problems related to language understanding, user behavior prediction, and decision optimization. You will collaborate with product teams, infrastructure, and research to shape the future of intelligence at interface.ai. Success will involve launching production-grade models, defining key behavioral models, improving AI systems, and driving measurable improvements in engagement and automation. The role offers the opportunity to make a direct impact on customer outcomes and platform intelligence, working with a cross-disciplinary team in a fast-paced environment.

Requirements

• 5+ years of experience in applied data science, including end-to-end model development and deployment
• Strong knowledge of Python, R, SQL, and experience with ML libraries and deep learning frameworks
• Experience with statistical testing, experiment design, and causal inference
• Understanding of production ML pipelines and collaboration with data engineering teams
• Experience with speech models, conversational systems, or classification models in user-facing applications
• Strong product thinking—able to translate model insights into product impact and roadmap trade-offs

Responsibilities

• Develop and deploy machine learning models for use cases like intent recognition, conversation scoring, outcome prediction, and next-best-action systems
• Design and run A/B and multivariate experiments to validate hypotheses and measure product impact
• Build real-time and batch inference pipelines in collaboration with engineering
• Define, instrument, and maintain data pipelines for user interaction modeling, longitudinal engagement, and behavioral segmentation
• Develop intelligence layers for customer-facing analytics products (e.g., AI explainability, task attribution, feature impact modeling)
• Partner with product managers, engineers, and UX teams to define data-informed product features
• Translate complex model outcomes into actionable insights for internal and external stakeholders
• Stay current with research and best practices in Voice models, decision modeling, time-series analysis, and agentic AI architectures
• Launch production-grade models that are actively used in product features or operations workflows
• Define and validate key behavioral or predictive models that influence roadmap direction
• Improve accuracy, performance, or interpretability of existing AI systems across voice and chat products
• Drive measurable lift in engagement, resolution rate, or automation through data-driven product iterations
• Collaborate across departments to establish trusted experimentation and measurement frameworks

Preferred Qualifications

• Experience working in B2C environments especially in regulated industries (e.g., financial services, healthcare)
• Exposure to retrieval-augmented generation (RAG), embedding-based search, or LLM evaluation frameworks
• Familiarity with tools like Airflow, MLflow, dbt, or feature stores
• Prior work in chatbots, IVRs, or user feedback systems