| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
TipTop | Remote | $165k - $260k | |||
Crypto.com | United States | $45k - $75k | |||
CoinList | San Francisco, CA, United States | $65k - $100k | |||
Coinsquare | Toronto, Canada | $54k - $77k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
CoinFlip | Chicago, IL, United States | $45k - $75k | |||
CoinFlip | Chicago, IL, United States | $63k - $79k | |||
Binance | London, United Kingdom |
| |||
Crypto.com | Hong Kong, Hong Kong |
| |||
Aptos | Palo Alto, CA, United States | $39k - $75k | |||
XBTO | Miami, FL, United States | $91k - $96k | |||
OKX | Singapore, Singapore | $32k - $76k | |||
Flippa | Austin, TX, United States | $91k - $156k | |||
Injective Labs | Remote | $32k - $76k | |||
IOVLabs | Remote | $32k - $76k | |||
CoinList | Remote | $65k - $100k |
This job is closed
Weâre inviting individuals with a deep knowledge in machine learning and data infrastructure to join the TipTop founding team with backgrounds in engineering, data science & product. Together we will be working on systems at the intersection of fiat and crypto. Are you a curious thinker who likes to solve complex challenges in a rewarding environment where your contributions are valued and have a direct impact?
- Work on complex challenges building systems in the applied machine learning space
- Build reliable data services and robust ingestion pipelines for both structured and unstructured data sources
- Design and ship ETL pipelines that transform, aggregate, normalize, and master messy data
- Define data models for optimal storage with a keen eye for model development, analysis, and optimization over time
- Develop, train, and deploy models in the pricing, risk, and prediction space
- Contribute to the development of consumer facing experimentation & risk platforms
- Have the opportunity to build and lead a team
- 7+ years of experience as a software engineer architecting, building, launching and maintaining end-to-end ML systems from whiteboard to production
- Demonstrated ability turning business and product ideas into engineering solutions. You can go from zero to one
- Strong knowledge of statistics and machine learning
- Strong programming experience in Python | SQL
- Familiarity with modern data stores, pipeline & orchestration tools, and ML frameworks
- Experience building experimentation frameworks
- Experience in quantitative finance and forecasting/prediction models
- An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Quantitative Finance, Physics, or a related technical field
- Passion for building, bias for action, and are excited by uncertainty
- You are autonomous & adaptable â own the work, move fast, react quickly
- Python
- Go
- SQL/Postgres
- Dataflow / Airflow
- DBT
- TensorFlow/PyTorch/Spark
- GCP
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.