Data Scientist - Tie Labs (Crypto)

New York City, United States

The TIE

The Tie is the leading information services provider for digital assets, leveraging our best-in-class datasets to power solutions for institutions, tokens, and consumer-facing platforms. Learn more about The Tie.

View company page

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.

Requirements

  • BA/BS degree or relevant experience
  • At least 2 years experience with SQL and Python or R, and related tech stack skills (e.g. AWS, DBT, Web Apps)
  • 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
  • Extensive background in data gathering, preparation, and analysis.
  • Experience using business intelligence tools and data frameworks.
  • You’re self-driven and will be able to work in both a team environment and work independently toward solutions, with the ability to manage multiple projects from inception to completion
  • Ability to work in a fast-paced, cross-functional environment to drive stakeholder alignment and scale objectives
  • Exceptional communication, writing, and presentation skills
  • You have the versatility and interest to learn new technologies

Benefits

  • Employee stock option plan
  • Health, dental, vision, and disability insurance
  • Flexible paid time off
  • A fast-paced and exciting work environment
  • Strong teamwork-driven culture

Salary range: $100,000 - $130,000 + Commission

Location: New York City / Remote considered

The TIE Inc is an equal opportunity employer.

Apply now Apply later
  • Share this job via
  • or

Tags: APIs AWS Business Intelligence Crypto Data visualization dbt Finance Python R Research SQL Statistics

Perks/benefits: Career development Equity Flex vacation Health care Insurance Startup environment

Region: North America
Country: United States
Job stats:  2  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.