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.
TrueAccord is looking for a visionary, hands-on leader for its Data Science team. The Data Science team has 2 components: Core Data Science and Data Platform. The Core Data Science team is responsible for creating predictive models, leveraging machine learning and other statistical methods to help us better understand and communicate with our customers. The patent pending Heartbeat service is one of the most critical pieces of technology at TrueAccord and is owned by the Data Science team. Join TrueAccord and help us continue to reimagine Fintech and the debt industry.
Create and manage a data science roadmap: algorithms/models that improve business KPIs as well as the data infrastructure for those algorithms/models.
Enhance and further build out an infrastructure for data science. This includes data pipelines, training environments, and production runtime services.
Lead, mentor, and coach the Core Data Science and Data Engineering teams.
Management: 60%, hands on data scientist: 40%.
Derive data science requirements from business needs.
5+ years of data science experience.
Ability to determine business requirements, translate them into technical requirements for the team.
Passion for leading, coaching, and mentoring teams.
Strong leadership and communication skills.
Hands on experience building high throughput data systems.
Hands on experience with machine learning techniques and algorithms.
Experience with SQL, Python, Pandas.
Bonus Points: (optional)
Previous experience in Fintech.
Experience with Kafka, Spark, Scala, and/or Java.
Benefits and Perks:
Work with talented and motivated people in a fast paced environment.
Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance.
Meaningful equity package.