Role overview
The TIE is seeking a Data Scientist to identify and explore patterns in our proprietary datasets, source and diligence external datasets, and develop tools to help leading token issuers make more impactful data-driven decisions. The TIE is located in New York City. Applicants who can work in person are strongly preferred, but remote candidates will also be considered.
What you'll work on
- Explore, visualize, and validate our proprietary cryptocurrency data sets
- Use our data and analytics tools to help some of the largest token-issuers optimize their decision-making
- Collaborate with our developers to source, research, test, and analyze new data sets to include in our suite of products
- Interface with our research team to write and contribute to research reports, media outlets, and other publications
- You have a strong interest in data science, finance, and cryptocurrency. Prior professional experience in crypto is a huge plus
- You thrive in a fast-paced start-up environment where there are always new projects and challenges. While day-to-day responsibilities will revolve around data science, you will have the opportunity to learn different functional areas of the business working side-by-side with the founders and business partners, and interacting with customers
- You can use R or Python to clean data, build models, and present results. Big plus if you’ve used RMarkdown and RShiny
- You write good quality code. It’s readable, efficient, and reusable
- You are creative and possess an entrepreneurial mindset. You’re self-driven and will be able to work in both a team environment and work independently towards solutions
- You have the versatility and interest to learn new technologies
- Competitive compensation
- Employee stock option plan
- Health, dental, vision, and disability insurance
- Flexible paid time off
- Flexible working hours
- A fast-paced and exciting work environment
- Strong teamwork-driven culture
Tags & focus areas
Used for matching and alerts on DevFound Data Science Crypto Scientist Blockchain Python R