Senior Analytics Engineer — Remote, High-Impact Data & ML

Coinbase, Inc.; Baton Rouge (LA); Hybrid; USD 180,000 - 212,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

401(k)

Job summary

Coinbase, Inc. invites you to join the GFCO Analytics Engineering team to build data foundations powering customer experience and compliance operations. You’ll own end-to-end data models, design experiments, and apply ML to improve how we serve millions of customers.

You will create self-service dashboards, apply causal inference to CX programs, and collaborate across teams to deliver scalable data solutions while maintaining rigorous quality and governance.

Qualifications

• 5+ years of analytics engineering, data science, or data engineering with ownership of production data pipelines.
• Advanced SQL and Python for data model development and ML model deployment.
• Experience with causal inference methods and A/B testing for senior-level reporting and compliance.

Responsibilities

• Own the design, build, and maintenance of production data pipelines, dimensional models, and ML-powered analytics products (including LLM-based contact classification, friction detection, and issue attribution) serving CX and compliance use cases.
• Drive the development of self-service dashboards and AI-assisted analytics tools in Looker, Hex, or Python visualization libraries that reduce time-to-insight for CX stakeholders and operational teams.
• Design and execute causal inference frameworks and quasi-experiments (A/B tests, holdout frameworks, difference-in-differences analyses) to measure the incremental impact of CX programs on customer retention and product engagement.
• Partner with cross-functional stakeholders to translate business needs into scalable data solutions, managing a long-term analytics roadmap that balances tactical delivery with strategic investment.
• Lead deep-dive investigations into key performance metrics using advanced statistical methods (Bayesian reasoning, time series analysis, propensity score matching) to identify actionable opportunities that improve customer outcomes, operational efficiency, and compliance posture.
• Shape analytics engineering standards, documentation practices, and testing frameworks that enable the broader team to move faster with higher data quality and statistical rigor.

Skills

Data pipelines

Dimensional models

SQL

Python

Causal inference

A/B testing

Machine learning

BI dashboards

Regulatory data

Tools

dbt

Airflow

Snowflake

Looker

Tableau

Hex

Job description

Coinbase, Inc. invites you to join the GFCO Analytics Engineering team to build data foundations powering customer experience and compliance operations. You’ll own end-to-end data models, design experiments, and apply ML to improve how we serve millions of customers.

You will create self-service dashboards, apply causal inference to CX programs, and collaborate across teams to deliver scalable data solutions while maintaining rigorous quality and governance.