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. The Opportunity: TrueAccord is looking for a Senior Data Scientist to join its growing Data Science team. The team is dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance. As a senior member of the team, you will have the opportunity to dive deep into our data in order to produce actionable insights, turning this research into machine learning models that elevate our automated debt collection strategy. You’ll explore both green field areas as well as optimize existing ones. You will be a key partner to product and engineering teams looking to identify and prioritize high value machine learning projects that positively impact the experience of both external and internal customers. We’re looking for a driven, self-sufficient and seasoned data scientist who not only runs their own project from initial concept to production but also has a strong desire to mentor junior team members. Our ideal candidate will have a collaborative spirit with a passion for using data to create a positive customer experience. What You’ll Do: Perform self-directed fundamental research and analysis.Develop and maintain machine learning algorithms.Apply data and algorithmic thinking to address business and domain problems.Work cross-functionally to identify high impact business needs and translate them into technical requirements.Manipulate and curate data sets for analysis and model training. What We’re Looking For: Minimum 3 years of data science experience, with machine learning focus.Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, Keras, etc).Strong foundational skills: Python, Pandas, SQL.Advanced degree in statistics, applied mathematics, computer science or equivalent quantitative studies.Ability and desire to mentor junior team members.Drive to educate stakeholders in data science concepts and techniques. You might also have: Strong cross-functional communication skills with technical and non-technical partners.Solid understanding of experiment design.Experience with natural language processing techniques.FinTech backgroundBenefits, 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- Paid time off to do volunteer work in your community! 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.