Senior Data Scientist, Platform

Coinbase

. Conduct analysis and deep dives on ambiguous business problems .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $180,370 - $212,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, machine learning model development, and statistical rigor to drive impactful insights and recommendations. Proficient in SQL and Python, with a strong ability to communicate complex data findings to stakeholders and influence product roadmaps.

Highest-signal resume keywords

SQL ExpertisePython ProgrammingMachine Learning Model DevelopmentData AnalysisStatistical Rigor

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningETL JobsCausal AnalysisStatistical ModelingData VisualizationExperimentation DesignQuantitative ResearchComplex Modeling FrameworksAmbiguous Problem Solving

Soft Skills

Clear CommunicationPositive EnergyContinuous LearningEfficient ExecutionStakeholder Influence

Industry Keywords

Data ScienceDigital ProductsIterative Development CycleGenerative AIBusiness Analytics

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Conduct analysis and deep dives on ambiguous business problems
Produce insights and recommendations that guide team decision-making
Build, tune, or measure online and offline machine learning models and AI systems used across Coinbase
Own a broad scope of data and metrics, including definitions, core logging, and data visualizations
Guide code reviews and provide SQL and Python expertise
Create and maintain ETL jobs
Design, execute, and improve experimentation and causal analyses
Maintain statistical rigor and build stakeholder confidence
Partner with Product, Engineering, and Design to influence the roadmap and understand users

Requirements

What you’ll need

BA/BS in a quantitative field (e.g., Math, Statistics, Physics, or Computer Science) with ≥5+ years of relevant experience, or a PhD in a quantitative field with ≥3+ years of relevant experience
Demonstrated experience driving impactful data science projects that tackle ambiguous problem spaces
Ability to influence external stakeholders by synthesizing data learnings into compelling stories
Practical expertise applying complex modeling frameworks to practical business problems
Professional experience using SQL and Python
Experience working with digital products in an iterative development cycle
Clear communication, positive energy, continuous learning, and efficient execution
Responsible use of generative AI with human oversight to deliver business-ready analytical outputs and models
Must be based in the USA

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Free compatible screen reader for applicants needing screen reading technology