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Lead Data Scientist

4 months ago

Miami, United States Greenbox Capital Full time

Greenbox Capital is a dynamic and growing FinTech company that has been providing working capital to small businesses in Canada and the USA for 12 years, providing cutting-edge financial services in the US and Canada with strong revenue streams and a steady growth curve. Speed, accuracy, and automation are causing the company to grow exponentially.

We look to derive business value through advanced predictive data modeling and Machine Learning and Artificial Intelligence.We are applying predictive technology to large volumes of data and against a wide spectrum of business and owner data to make fast and accurate credit decisions, trend forecasting.

A successful candidate will be a person who is innovative, with a product development mindset, and will understand how to further differentiate our financial products on the market to create more stickiness. The candidate enjoys working with many departments and wearing many hats as this person will be responsible for various projects inside the organization working with our Leadership team.With our "Growth Mindset" and Inclusive Team Culture at Greenbox Capital, we embrace our differences. We are committed to furthering our culture of personal and professional growth while producing bottom line results.

Qualifications:

  • 8+ years of deep industry experience in predictive& algorithmicmodeling, data science, anddataanalysis, specifically with experience in developing FinTech products.
  • Experience in startup, scale and exits and/or entrepreneurial environments.
  • Experience with ML fields, e.g.,predictive analytics and financial modeling, statistical learningtheory.
  • Experience indata scientist role building and mentoring.
  • Experience withmaintainingand monitoringML models in a production environment.
  • Expertisein modelling& buildingsystemsusing 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:

  • Fullyaccountablefor the success and failure of the Data Science teamtechnical deliveries.
  • Collaborate with business domain subject matter experts in various departments to understand the problem and theobjectives.
  • 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,dataand software engineering, andassistthem 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.