Dieses Stellenangebot ist nicht mehr verfügbar
Data Scientist III: Sales Intelligence Modeler
M&T Bank
- United States
- United States
Über
M&T Bank is seeking a Data Scientist III: Sales Intelligence Modeler to design and operationalize scalable data assets that transform complex business line data into actionable intelligence. The role involves managing the end-to-end data model and applying statistical and machine-learning methods to enhance data assets for enterprise-wide sales intelligence capabilities.
Responsibilities : • Transform large and complex cross‑channel datasets into clean, well‑organized, and trustworthy structures by sourcing, ingesting, profiling, and validating data—ensuring stability and consistency across development and production. • Translate messy, unstructured, or ambiguous data into clear schemas, attributes, and data models that reflect real business logic and support consistent, scalable downstream analytics and intelligence capabilities. • Apply statistical, econometric, and machine‑learning methods—such as classification, clustering, sampling, and pattern analysis—to enrich data assets, validate assumptions, and create reusable components that support broader modeling and decisioning needs. • Convert business logic into conformed semantics (entities, relationships, identifiers, and rules) by partnering with stakeholders across sales, enablement, and platform teams. • Build and govern agentic‑ready datasets with documented lineage, metadata, quality checks, and documentation, to ensure trust, reuse, and predictable performance. • Optimize for downstream consumption (analytics, BI, and AI/agent use‑cases) by designing stable keys, conformed dimensions, and consistent definitions that reduce consumer cycle time. • Own the product lifecycle of data assets—manage backlog/prioritization, publish release notes, instrument data health (freshness, completeness, drift), and iterate based on user feedback and outcomes. • Work hands‑on across the stack (from ingestion and transformation to publishing and documentation), balancing technical build with stakeholder discovery in a small, high‑impact team. • Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. Identify risk-related issues needing escalation to management. • Promote an environment that supports belonging and reflects the M&T Bank brand. • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. • Complete other related duties as assigned.
Qualifications : Required : • Bachelor’s degree and a minimum of 3 years related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience • Proficiency with pertinent statistical software and languages and tools • Experience with various hybrid databases both on premise and in the cloud • Intermediate level knowledge of Structured Query Language (SQL) and Not Only Structured Query Language (nSQL) • Understanding of modeling techniques such as Bayesian modeling, Classification models, Cluster analysis, Neural Network, Non-parametric methods, and Multivariate statistics • Experience building well governed and documented data assets
Preferred : • Masters’ of Science or Doctorate degree in Statistics, Economics, Finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management • Experience leveraging econometric/statistical techniques, including time-series analysis, panel data methods and logistic regression • Tactical experience with pertinent statistical software and languages and tools • Experience with Alteryx or similar software
Company :
Great companies have an enduring sense of purpose. Founded in 1856, the company is headquartered in Buffalo, New York, US, , with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.