Staff Data Scientist
About The Position
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.
Requirements
- 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.
- Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up.
Nice To Haves
- Experience with web3 and blockchain protocols is a plus.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
