Data Scientist Lead

Position Overview

• Location Type: Not Specified
• Employment Type: Full Time
• Salary: Not Specified Manages and builds systems of models to analyze diverse big data sources to generate insights and solutions for business partners and product enhancement. Manages and participates in developing, testing, and validating models that drive business value. Assists with identifying and interpreting insights from data. Direct leadership of assigned data science team.

Responsibilities

• Manage and participate in working with large data sets to solve unstructured problems using different analytical and statistical approaches for a single domain.
• Manage and participate in sourcing, ingesting, and cleaning of data sets in preparation for analysis, work with data teams to productionize and scale data cleanup process.
• Ensure data is stable, accounting for complex data drift in development and production.
• Manage and participate in the building of econometric, statistical, and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
• Manage committing of complex coding into model repository to serve as a source for others and promote complex models into production system.
• Manage and develop champion/challenger models and adjust models accordingly.
• Lead the selection and refinement of models taking into account performance, reliability, and stability metrics and business feedback.
• Develop model refinement educational materials and deliver related training for data users.
• Guide less experienced data scientists on model development, selection, refinement, measurements, and visualizations and creating consumable model outputs.
• Create outputs from multiple models for business discussions to display model outcomes, impact, and business value.
• Lead stakeholder meetings to discuss concerns, opportunities, and production challenges.
• Work with more experienced data scientists to develop new research approaches, provide recommendations on how techniques will be adapted based on client needs, and attend meetings with data clients to understand their research questions.
• Review own and assigned team’s code to ensure it is efficient, accurate, and using best practices.
• Exercise usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management and terminations.
• Understand and adhere to the Company’s risk and regulatory standards, policies, and controls in accordance with the Company’s Risk Appetite.
• Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis.
• Identify risk-related issues needing escalation to management.
• 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.

Requirements

• Not Specified

Application Instructions

• Not Specified

Company Information

• Not Specified