Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
OKX | Singapore, Singapore | $105k - $180k | |||
Magic Eden | San Francisco, CA, United States | $180k - $220k | |||
Gemini | Gurgaon, India | $90k - $159k | |||
Delta One ( Barrick Annd Thee Elite's) | Remote | $32k - $92k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Clearmatics | London, United Kingdom | $87k - $110k | |||
Trilitech | Remote | $105k - $180k | |||
Blueclip | United States | $105k - $180k | |||
Coinhako | Singapore, Singapore | $76k - $80k | |||
Pagoda | Remote | $87k - $98k | |||
NEAR | San Francisco, CA, United States | $87k - $98k | |||
RWA.xyz | New York, NY, United States | $105k - $145k | |||
Coinbase | New York, NY, United States | $113k - $134k | |||
Zortech Solutions | United States | $105k - $150k | |||
OpenZeppelin | Remote | $72k - $150k | |||
Kraken Digital Asset Exchange | Remote | $63k - $100k |
This job is closed
Who We Are
- Design and build resilient and efficient data pipelines for both batch and real-time streaming data
- Architect and design data infrastructure on cloud using industry standard tools
- Execute projects with an Agile mindset
- Build software frameworks to solve data problems at scale
- Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
- Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent issues and quickly identify issues. Drive resolution on the issues
- Bachelors in Data Science, Computer Science, Mathematics, Electrical Engineer or self-taught enthusiasts.
- Experiences with Python(Pandas, Numpy, Scikit Learn, Matplotlib, PyTorch, Tensorflow etc), SQL(window, aggregate, join, etc) and Common Terminal Commands.
- Experience with data processing tools such as Spark, Flink, and implementing batch and streaming data pipelines
- Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.
- Experience in an analytical or data scientist role involving feature extraction, big data analysis with Hadoop/Hive/Spark/HBase, modelling in FinTech, eCommerce, AdTech, or Digital Wallet business industries.
- Master or Phd in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science, Business, Economics, or other quantitative fields.
- Data science competition winner or publications at top AI conferences or journals.
- Market Competitive total compensation package
- Comprehensive insurance coverage for employees and their dependants
- Meal Allowance Program
- More surprises to find out!
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.