Debt collection is broken. Every year, 77 Million Americans have experiences with the Collections process, and they deserve a better approach - one that is more relevant, more digital, and less abrasive. That’s why banks, lenders, and industry leaders are coming to TrueAccord for innovative solutions recovering outstanding receivables.

TrueAccord is a category-defining company. We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. Come join our team and disrupt a multi-billion dollar industry that’s been waiting for change.

Responsibilities

  • Collaborate with the CTO, Director of Data Science, and Director of Product to create a data science roadmap
  • Create, train, and deploy machine learning algorithms
  • Passion for algorithmic thinking and leveraging data to address business and domain problems
  • Data engineering - there will be data engineers to help and support, but a certain amount of data engineering is expected out of the data scientist
  • Lead, mentor, and coach other teams in data science best practices
  • Translate business needs into data science requirements

Qualifications

  • 3-5 years of data science experience, with focus in machine learning
  • Ability to determine business requirements, translate them into technical requirements for the team
  • Ability and desire to educate the rest of the company in data science concepts and techniques
  • Hands on experience with machine learning techniques and algorithms
  • Experience with SQL, Python, Pandas
  • Working knowledge of big data technologies: AWS, spark
  • Advanced degree in statistics, applied math or equivalent experience

Preferred

  • Fintech experience
  • Experience with machine learning, pandas, python