Chief Scientist
Why TrueAccord?
TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.
With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.
Your Role:
TrueAccord is building a world-class Data Science team to help Americans safeguard their financial health. We are looking for a Chief Scientist to lead it. This is a unique opportunity to use your experience, knowledge, and passion to transform a trillion-dollar industry and bring financial peace of mind to tens of millions of people many of whom had been harassed and abused by commission-driven collections agencies for years. You will join a multi-functional engineering team dedicated to creating a data-driven culture and improving the efficiency of the way we make and implement decisions.
As a Chief Scientist, you will act as a visionary who leads technology development for optimizing TrueAccord’s automated debt collection strategies. You will also be the scientific face of TrueAccord to the outside world.
We’re looking for someone who is known for research in machine learning and is capable of transforming it from theory to practical algorithms.
Responsibilities:
- Formulate and implement technical vision and strategy around Machine Learning
- Devise a world-class Machine Learning platform for the debt management industry
- Continuously improve business impact of our production Machine Learning systems
- Hunt for quality datasets
- Represent TrueAccord in the Machine Learning community
- Mentor and guide the Data Science team
- Work closely with product leadership, other TrueAccord stakeholders, and clients on models, datasets, and insights
- Explain complex Machine Learning concepts to audiences of varied technical backgrounds
Qualifications:
- PhD in Computer Science with specialization in Machine Learning
- Recent experience in building and managing a strong, impactful data science team
- Entrepreneurial mindset
- Track record of significant business lift from Machine Learning in fintech
- Current on all recent advances in the field
- Industry presence: published research, blogging, conferences, meetups, open source contributions
- Fluent proficiency in Python
- Ability to quickly prototype and test new ideas
- Deep understanding of cost-effective tradeoffs in large-scale production systems
- Strong passion for research and development with experience in solving hard analytical problems
#LI-JV1
Benefits, Perks, and Culture
- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits
We offer a healthy work environment that continuously builds an inclusive and diverse culture where everyone is able to develop the best version of themselves. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.
Our Dedication to Diversity & Inclusion
TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.