| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Gigster | Chicago, IL, United States | $112k - $183k | |||
Seedify | Pan Asia | $81k - $84k | |||
Figment | Toronto, Canada | $160k - $200k | |||
Figment | Toronto, Canada | $180k - $220k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Luno | Cape Town, South Africa | $84k - $84k | |||
CertiK | Remote | $75k - $110k | |||
Swan | Remote | $76k - $113k | |||
Luno | Cape Town, South Africa | $98k - $110k | |||
Luno | Cape Town, South Africa | $98k - $103k | |||
Gemini | Remote | $136k - $190k | |||
Ledger | Paris, France | $84k - $84k | |||
Binance | Taipei, Taiwan |
| |||
SADA India | Thiruvananthapuram, India | $112k - $183k | |||
Nansen.ai | Singapore, Singapore | $72k - $150k | |||
Binance | Taipei, Taiwan |
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Senior Data Engineer, Gigster Network
Responsibilities
- Creating, designing, and deploying ETL and ELT flows for consumption from third-party data sources.
- Building the tools to monitor data pipelines and performing troubleshooting and debugging.
- Collaborating with data scientists and resolving data quality and performance issues.
- Collaborating with software and data engineers.
- Collaborating with Machine Learning Engineers to deploy, monitor, and maintain Machine Learning models in a production environment.
- Leading the integration of Machine Learning models with CI/CD pipelines, ensuring consistent and seamless model versioning, testing, and roll-out.
Requirements
- Minimum of 5 years of software development experience.
- Strong programming skills in Python.
- Experience in MLOps.
- Experience analyzing large datasets and uncovering insights using tools such as Spark, Scala, or PySpark.
- Experience with modern cloud platforms (AWS, Azure, or GCP).
- Experience in DevOps for CI/CD, IaC (Infrastructure as Code).
- Experience with modern ETL tools such as Apache Beam, Kafka, Spark, or similar.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Benefits
- World-class network. Be part of a network with the most talented people in the world.
- Amazing cutting-edge projects. Pick the projects from F500 companies that you’re interested in.
- 100% remote and global. Live your best life, wherever that may be, and never lose out on career opportunities because of it.
- Flexible work hours. There is a time to overlap with the customer’s timezone, but most of the time, we work asynchronously and don’t care when you’re online, just that you deliver great results.
- Flexible offerings. Choose how many hours you want to work and how much you want to earn.
- Swag! Because who doesn’t love swag?
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.