Coinbase

Senior Data Scientist – Platform

Coinbase

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Salary

💰 $180,370 - $212,200 per year

Job Level

Tech Stack

About the role

  • Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.
  • Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
  • Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
  • Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.

Requirements

  • A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
  • Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
  • Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
  • Practical expertise in applying complex modeling frameworks to practical business problems.
  • Professional experience using SQL and Python.
  • Experience working with digital products in an iterative development cycle.
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Benefits
  • Full time offers from Coinbase include bonus eligibility + equity eligibility + benefits (including medical, dental, vision and 401(k)).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonETLdata analysisdata visualizationstatistical rigorcausal analysiscomplex modeling frameworksdata science projectsquantitative analysis
Soft Skills
clear communicationpositive energycontinuous learningefficient executioninfluencing stakeholdersstorytelling with dataproblem-solvingcollaborationcritical thinkingadaptability