| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Stardust Cards Corporation | Remote | $45k - $60k | |||
CANDY | New York, NY, United States | $81k - $100k | |||
Gemini | Austin, TX, United States | $98k - $108k | |||
Gemini | New York, NY, United States | $91k - $96k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gemini | New York, NY, United States | $45k - $60k | |||
MoonPay | London, United Kingdom | $91k - $96k | |||
Worldcoin.org | Berlin, Germany | $45k - $60k | |||
Voice | New York, NY, United States | $32k - $60k | |||
OKEx | Hong Kong, Hong Kong | $32k - $76k | |||
OKEx | San Francisco, CA, United States | $32k - $76k | |||
OKEx | Hong Kong, Hong Kong | $32k - $76k | |||
Okcoin | San Francisco, CA, United States |
| |||
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Figment | Toronto, Canada | $45k - $75k | |||
Coin Metrics | Boston, MA, United States | $45k - $75k |
This job is closed
This position will be focused on three key things: Data architecture Data analytics Leadership and Mentoring
They will set our data architecture, migrate us to appropriate biz intelligence tools like Snowflake, R, and Periscope. They will also define our key metrics in collaboration with Product, and work with engineering to better capture and structure data for analysis. They will drive insight development, and data analytics strategy. Finally, they will participate in the development of the overall BI department.
Department is a sub-dept of Product.
Stardust is building the metaverse - an interconnected world of games enabled by blockchain and NFTs.
Why work at Stardust?
At Stardust you won't be building just another SaaS product for game developers, you’ll be building the future. The Metaverse (think Ready Player One) is connecting games, finance, and social, while being the foundational layer for new economies, the future of work, fashion, and more. We’re looking for individuals who think big, want to change the future, and who can believe in the big ideas before they are mainstream. Challenging the status quo is what we do and we’re looking for someone to help turn crazy ideas into reality.
We've just raised our Series A and are growing quickly, join our team and build the future, not just witness it.
Everyone at Stardust has ownership over what they do, and we are looking for individuals who can manage a team of blockchain engineers effectively to adhere to timelines and spec out new features across many different blockchains that are all architected in very different ways.
Our Lead Data Scientist will be the first member of our Business Intelligence team. This position will straddle the line between independent contributor and leader. You will aid the company overall through the development of reporting, deep dive analyses, and both technical and analytical support across multiple departments to aid in business decisions. You will be a leader within the department, through the hiring and mentoring of BI staff, and without the department by creating data pipelines and internal business intelligence products to be used directly by our product organization and other internal stakeholders. This position will have considerable influence in the development of all company products, and client support. This is an opportunity to build a full department and drive the insights of a future unicorn.
We value creativity, and a desire to excel in a blue sky section of the technology industry. Bring your enthusiasm and expertise, and we’ll bring the resources you need to build a legacy.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.