Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
MoonPay | Barcelona, Spain | $101k - $102k | |||
MoonPay | Madrid, Spain | $98k - $103k | |||
Paradigm62 | Remote | $72k - $103k | |||
Edgeandnode | Remote | $100k - $500k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Chillchat Games | Bangkok, Thailand | $63k - $90k | |||
RWA.xyz | New York, NY, United States | $90k - $100k | |||
Chainalysis | Toronto, Canada | $76k - $87k | |||
Crypto.com | Hong Kong, Hong Kong | $27k - $67k | |||
Bitso | Latin America | $122k - $201k | |||
Bitwise Asset Management | San Francisco, CA, United States | $110k - $125k | |||
Keyrock | Brussels, Belgium | $112k - $156k | |||
Launchpadtechnologiesinc | Latam | $79k - $92k | |||
Gateway.FM | Remote |
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Binance | Remote |
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Gate.io | APAC | $80k - $100k |
Growth Data Scientist
What you will do
- Provide analytical support to the growth marketing team across all facets of their work, including evaluation of customer acquisition cost, customer spending forecast, and finding an optimal mix of marketing channels.
- Maintain and improve our marketing tracking and attribution systems.
- Oversee and implement A/B tests and other experiments to drive forward optimization efforts.
- Automate attribution and CRM campaign reporting.
- Measure and optimise ROI of campaigns.
- Leverage and incorporate forecasting or predictive modelling techniques to drive recommendations / actionable insights.
- Develop data-driven strategies for acquisition, retention, and expansion.
- Build robust data models downstream of backend services and external data sources.
- Design, build and scale both internal and external data products, which drive informed decision making; examples include dashboards, reports, models, algorithms, integrations into other product lines.
- Communicate complex concepts and findings effectively to technical and non-technical audiences across different teams, including VPs, while ensuring clarity and understanding to drive critical business decisions.
- Independently lead projects from end-to-end.
- Prioritise and manage competing tasks and deadlines effectively, aligning with goals and adapting to changing priorities.
- Mentor and coach other data analysts on the team.
- Contribute to our overall approach and standards within the data discipline.
- Be proactive in spearheading initiatives to support stakeholders and business partners around the organisation.
- Experience with mobile measurement platforms and web tracking tools (e.g. Braze, Appsflyer, Adjust, GA360/GA4, Mixpanel, Amplitude, Segment).
- Experience working in ROAS performance marketing framework with familiarity with AdTech and incrementality measurement approaches.
- Experience with web analytics, web tracking and app tracking.
- Advanced SQL, data modelling, and data visualisation tools are second nature to you.
- You have a deep understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.
- You have experience working with growth or product teams on acquisition, retention and campaign optimisations.
- You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment..
- You are experienced in communicating with cross-functional stakeholders including product managers, engineers, VP & C-level executives.
- 3-5+ years experience as a growth analyst.
- You have experience working in fintech
- You have experience working in start-ups or scale-ups
- You have knowledge of cryptocurrency
- You have worked with DBT, Google BigQuery, Looker and Python
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.