OP Labs

Staff Data Scientist

OP Labs New York, New York, United States · $219K–$246K/yr

Software Development · 51-200 employees

Yesterday
Remote data-scientist Senior (5-10 yrs) Full-time United States
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About the role

The Staff Data Scientist will analyze large datasets to extract insights and identify trends across blockspace while collaborating with cross-functional teams to build data-driven solutions. They will also design data pipelines, perform statistical analysis, and maintain key metrics to enhance the company's data infrastructure.

What they look for

Data Science Python SQL Statistical Analysis Hypothesis Testing Data Visualization Data Pipelines Blockchain Web3 Software Engineering Data Infrastructure Quantitative Analysis Communication Stakeholder Management

Requirements

Candidates must have 7+ years of professional data science experience and a degree in a quantitative field. Strong coding skills in Python and SQL, along with a track record of scaling data science products and experience with blockchain protocols, are required.

Full description

OP Labs builds Optimism, an open-source blockchain network that powers the next generation of financial infrastructure. Hundreds of companies, from the world's largest enterprises like Sony, Coinbase, Kraken, Uniswap, OKX, and Bitpanda to the most ambitious early-stage builders, use the OP stack to launch their own blockchains and bring their users onchain. Today, over 65% of Layer 2 activity on Ethereum runs through the OP stack.

We are a small team building at the speed of the ecosystem we support. We’re remote-friendly but the NYC office is our center of gravity. We've raised $178M from a16z, Paradigm, and others. We have our work cut out for us and are looking for exceptional people to join us.

What are the role responsibilities?

  • Analyze large datasets to extract meaningful insights and identify trends across all blockspace
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and build data pipelines to collect, clean, and preprocess data from various sources.
  • Perform statistical analysis and hypothesis testing to validate model performance and accuracy.
  • Create data visualizations and dashboards to communicate findings to stakeholders.
  • Stay up-to-date with the latest developments in blockchain technology, AI, and data science methodologies.
  • Conduct research and experiments to explore new opportunities and improve existing models.
  • Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.

What skills do you bring?

  • 7+ years of professional data science experience
  • A degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Sciences, Engineering)
  • Strong track records of designing, prototyping, scaling and launching data science products to solve business problems.
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
  • Strong coding skills in general purpose languages like Python and SQL, and familiarity with software engineering principles around testing, code reviews and deployment.
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
  • Experience with web3 and blockchain protocols is a plus.
  • Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up.

We are aware of fraudulent individuals falsely claiming to represent OP Labs in recruitment activities. Please note:

  • All official communication will come from an @oplabs.co email address, or from a verified Linked profile.
  • We will never ask for payment, banking information, or personal identification details at any stage of our hiring process.
  • All current openings are listed exclusively on our official careers page and linked from our verified social profiles.
  • If you’re ever unsure about a communication that claims to be from OP Labs, please contact us directly at people@oplabs.co to verify authenticity.

Your safety and trust are very important to us. Thank you for helping us prevent fraud.

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