$140k-175k
Remote
Full time
Mysten Labs believes that decentralized and open protocols are the bedrock of the internet of value. This is why at Mysten Labs, we are creating foundational infrastructure to accelerate the adoption of decentralized protocols based on blockchain technologies.
The data science team is looking for a data scientist focused on analytics and reporting to translate product questions and ideas into actionable insights. This is an exciting opportunity for applicants with experience in traditional web companies to upskill in web3 while bringing their product analytics experiences to a dynamic new product area. Individuals with web3 backgrounds will get to further develop their web3 skills with one of the most performant blockchains and with a team that has deep connections to the space.
The successful candidate will partner with our product and engineering teams to conceptualize, measure, and report on product rollouts, chain health, and ecosystem behaviors. This work will focus on building descriptive dashboards and generating one-off analyses for product partners. The ideal applicant has very strong SQL and visualization skills, and can potentially work in R or Python for larger analyses. The product team at Mysten is constantly pushing the boundaries of what web3 can be and the open role requires a candidate who can merge quick iteration with creative ideation.
What You’ll Do:
What You’ll Have:
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Compensation Range: $140K - $175K
Skills: scientist data science blockchain crypto
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