Overview: As Head of Data Science, you are a mathematician and engineer with experience delivering data and event pipelines, building data warehouses for internal metrics, and making massive amounts of data available in real time for a variety of analysis. You've built teams related to the above and are used to reporting to senior management.
Responsibilities:
- Build a team capable of developing and maintaining all internal data science products and servicing the various stakeholders inside BitMEX
- Provide mentoring and guidance to your team across various data science disciplines
- Develop and serve real time analytics to Product, Marketing, Business Development, Management,Investment, Risk Management, and Engineering teams
- Manage data science intiatives, priorities, and delivery
- Help generate and produce new end user products based on original data science work
Requirements:
- 5+ years of professional experience, with a proven track record building teams
- An advanced degree in mathematics or statistics, or equivalent experience
- Experience with AWS services and operating in the cloud generally
- Experience with Kafka, Kinesis, or NATS a plus
- Experience moving large amounts of realtime data, and making it available to internal analytics tools
- Familiarity with current industry data pipeline and ETL techniques
- Experience in finance not required, but a plus
Listed in: Crypto Jobs, .
Head of Data Science at BitMEX: FAQ
Where is the Head of Data Science role at BitMEX based?
The Head of Data Science role at BitMEX is based in San Francisco, CA. Check the job description for any remote or hybrid options.
Is the Head of Data Science role at BitMEX full-time or contract?
BitMEX is hiring this Head of Data Science as a full time position.
How do I apply for the Head of Data Science role at BitMEX?
You can apply for the Head of Data Science role at BitMEX directly on this page using the Apply button. San Francisco, CA candidates are welcome. Applications submitted through CryptoJobsList reach the employer directly.