At Ascent we are building an intelligent compliance platform that enables compliance professionals to easily track and understand their compliance obligations and related regulation. To support that platform, we are also building a full data science platform and team to help improve our efficiency at processing regulations and unlock new features using fundamentally creative approaches.
We are looking for experienced, passionate data scientists to help us build and maintain models that help solve a wide variety of problems. As a Senior Data Scientist and NLP Specialist at Ascent, you will be focused on creatively applying truly cutting edge research, including a variety of deep learning approaches, to our hardest problems, as well as mentoring less experienced data scientists. You may be thinking about novel ways of applying different language models to the Regulatory domain, or better ways of representing additional context and knowledge alongside text in sequential models. You’ll be expected to understand NLP at a fundamental level and use that understanding to create original and effective solutions. You’ll also help us think about the ethics of the models we build and how we can lead by example in the way we do our work.
Your day-to-day work will include working closely with business users, our regulation content team, and the rest of our data scientists and engineers to: a) use state-of-the-art NLP to automate significant sections of the workflow involved in onboarding and managing regulations; b) uncover novel features and information from text to enable new product features (e.g. finding related groups of regulation across regulators); c) deploy, monitor, and maintain models to actually solve problems in production; and d) experiment with creative solutions to problems that use new research and tools and disseminate new knowledge to the team.
We primarily use the Python data ecosystem, including both scikit-learn and Keras+Tensorflow, but we are open to all tools. We use all kinds of models, including deep learning and non-deep learning; we prefer to use the simplest tool that accomplishes the goal. We have a strong bias towards containerization, internal transparency, and simplicity to facilitate maintainable systems. We also place a high premium on our culture and values, both within the tech team and the company as a whole. We believe a diversity of opinions and perspectives creates a stronger team and product, and we are committed to an equal opportunity hiring process.
We’re excited to hear from you! Please send resume and cover letter to email@example.com.