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Data Scientist (Crypto) Jobs
Company | The Tie |
Address | New York, United States |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-07-13 |
Posted at | 10 months ago |
The Tie is the leading information services provider for digital assets. We help businesses in the cryptocurrency industry act on market-moving information faster through our leading institutional data terminal - Tie Terminal - and our proprietary social sentiment, blockchain data, and news feeds. Our clients include leading hedge funds, trading venues, market makers, tokens issuers, and other digital asset market participants.
- Explore, visualize, and validate our proprietary cryptocurrency data sets, with a particular focus on those derived from on-chain data
- Interface with our research analysts to write and contribute to both client-focused analytics and public-facing research report
- Use our data and analytics tools to help some of the largest token-issuers optimize their decision-making
- Build data analytics and access infrastructure such as ETL pipelines and APIs
- Collaborate with our developers to source, research, test, and analyze new data sets to include in our suite of products
- Develop cutting edge analytics and modeling methods to extract signal from raw on-chain data and translate it into actionable business insights
- 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 have a strong interest in data science, finance, and cryptocurrency. Prior professional experience in crypto and working with on-chain data is a huge plus
- You write high quality code: it’s readable, efficient, and reusable
- You have the versatility and curiosity required to rapidly learn new technologies
- You have a consultative, client-driven work style and are an excellent communicator
- You can use R or Python to clean and analyze data, build models, and present results with customized data visualizations
- You are proficient in data engineering workflows: able to construct complex data analysis and ETL tasks with tools such as SQL and DBT; able to utilize orchestration tools such as Serverless
- You are creative, driven, and a self-starter, and will be able to work in both a team environment and independently towards solutions
- A fast-paced and exciting work environment
- Strong teamwork-driven culture
- Employee stock option plan
- Flexible paid time off
- Flexible working hours
- Health, dental, vision, and disability insurance
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