Role: Data Science Manager
Exp: 10+ years
Location: Miami, Florida, United States
Fintech Background is must
Overview:
Our client is a dynamic and growing FinTech firm that has been providing working capital to small businesses in Canada and the USA since 12 years. They offer cutting-edge financial services with strong revenue streams and a steady growth curve. Speed, accuracy, and automation are driving their exponential growth.
Role Overview:
The client aims to derive business value through advanced predictive data modeling, machine learning, and artificial intelligence. They leverage predictive technology to analyze large volumes of data across a broad spectrum of business and owner information, enabling fast and accurate credit decisions and trend forecasting.
Qualifications:
· 10+ years of deep industry experience in predictive & algorithmic modeling, data science, and data analysis, specifically with experience in developing FinTech products including Credit & Pricing.
· Experience in startup, scale and exits and/or entrepreneurial environments.
· Experience with ML fields, e.g., predictive analytics and financial modeling, statistical learning theory and feature engineering.
· Experience in data scientist role building and mentoring.
· Experience with maintaining and monitoring ML models in a production environment.
· Expertise in modelling & building systems using Python.
· Experience in diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with modern tools to develop models.
· Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
Responsibilities:
· Fully accountable for the success and failure of the Data Science team technical deliveries.
· Collaborate with business domain subject matter experts in various departments to understand the problem and the objectives.
· Research and build innovative predictive statistical models for all areas of the business.
· Ability to translate complex data into actionable insights for a non-technical audience.
· Maintain, tune, improve model behavior with live data for the company’s credit decision model for lending operations to drive profitability.
· Provide mentorship to junior data scientists in aspects of machine learning, data and software engineering, and assist them with practical guidance, when needed.
· Strong teaching and mentoring skills for the purpose of building up talent and delegating responsibilities to ensure maximum productivity and grow the team
· Dynamic working style able to handle many moving pieces at once.
· Vocal and able to communicate needs and opinions to senior leaders.
· Team player, open minded, motivated, dedicated and highly value-driven.
