Data Scientist - Tie Labs (crypto)

The Tie is a leading provider of information services for digital assets. Our core offering, The Tie Terminal, is the fastest and most comprehensive workstation for institutional digital asset investors. The Terminal brings together real-time news from thousands of primary sources with sentiment analytics, spot and derivatives, alternative, and on-chain data in a powerful and intuitive platform.

The Tie’s clients include the leading traditional and crypto-native hedge funds, OTC desks, market makers, trading venues, banks, sell-side firms, and other institutional market participants.

We are backed by top-tier investors and are well-positioned to scale.  We love crypto and we’re excited about our role in its global proliferation.

The Position

As a Data Scientist, your role is to identify and explore patterns in our proprietary datasets, source and perform due diligence on external datasets, and develop new datasets, algorithms, and tools to improve The Tie’s products including the Tie Terminal and APIs. 

As a member of the The Tie Labs team, you are also responsible for interfacing with Token issuer stakeholders. You will leverage Tie data offerings to help clients make more targeted and educated decisions in marketing, PR, partnerships, and go-to-market strategies.

What You Will Work On

• Explore, visualize, and validate our proprietary cryptocurrency data sets.
• 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.
• Communicate with business stakeholders (internal and external) to identify and execute on opportunities to optimize decision making.
• Conducts statistical analyses to develop strategies.
• Builds predictive models and machine-learning algorithms.
• Identifies data patterns and trends.
• Proposes solutions and strategies to business challenges.
• Presents information using data visualization techniques.
• Documents all processes and research.