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Data Scientist
Institutional-grade tools to understand digital assets
Data Scientist
Institutional-grade tools to understand digital assets's logo

Data Scientist

at Institutional-grade tools to understand digital assets

Agency job
via Qrata
3 - 8 yrs
₹20L - ₹35L / yr
Bengaluru (Bangalore)
Skills
SQL
skill iconPython
Metrics management
skill iconData Analytics

Responsibilities

  • Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
  • Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
  • Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
  • Build customer facing metrics and dashboards.
  • Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
  • 3+ years experience with data analysis and metrics development
  • 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • 2+ years experience writing SQL queries
  • 2+ years experience scripting in Python
  • Demonstrated curiosity in and excitement for Web3/blockchain technologies
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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