| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | United States | $94k - $105k | |||
Chaoslabs | Remote | $130k - $150k | |||
Binance | Singapore, Singapore |
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Binance | Singapore, Singapore |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Taipei, Taiwan |
| |||
Zinnia | Remote | $79k - $84k | |||
Bitpanda | Remote | $73k - $84k | |||
Solana Foundation | United States | $91k - $154k | |||
Binance | Taipei, Taiwan |
| |||
Dmarket | Remote | $90k - $100k | |||
Artemis | New York, NY, United States | $140k - $150k | |||
Coinbase | Remote | $101k - $120k | |||
Rampnetwork | Remote | $79k - $84k | |||
RoofStacks | İstanbul | $76k - $100k | |||
Crypto.com | Hong Kong, Hong Kong | $122k - $123k |
Growth Data Scientist/ Analyst
Responsibilities
- Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, , paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness.
- Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems.
- Analyze data to derive actionable insights that drive business decisions and performance improvements.
- Automate repetitive tasks and data processes to enhance team efficiency.
- Collaborate with cross-functional teams to support data-driven decisions and project implementations.
- Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis.
Requirements
- Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields.
- Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus.
- Familiarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous.
- Proficiency in SQL and familiarity with data visualization tools like Tableau.
- Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting findings.
- Knowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platforms.
- Excellent verbal and written communication skills.
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.