Senior Data Scientist, CX Analytics

Coinbase

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$180,370–$212,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $196k
$89k most similar roles pay here $225k

This role pays more than 76% of similar roles. Most pay $126,800–$195,542 — the shaded band above. At the midpoint, this role pays about $196k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 58 open roles on FindRole.

Listed pay typically runs $201,365–$236,900 across 52 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Senior Data Scientist, CX Analytics

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As a Senior Data Scientist on the CX Consumer Analytics team at Coinbase, you will play a pivotal role in bridging CX operations with financial outcomes by developing revenue calibration models and experimentation frameworks that enhance customer retention and product adoption. Your responsibilities include owning and evolving the Downstream Impact of Support (DSI) model to quantify support interaction data into revenue signals, designing causal inference experiments for CX programs, and building LLM-powered classification pipelines for issue detection and attribution. You will collaborate with Analytics Engineers, Program Managers, and Product teams to create personalized customer experiences and maintain high statistical standards for executive reporting. The ideal candidate has a background in quantitative fields like Statistics or Computer Science, experience with revenue attribution models, expertise in A/B testing and causal inference, and proficiency in deploying LLM-based NLP pipelines.

Skills

Python SQL R Jupyter A/B Testing Causal Inference Machine Learning LLM NLP Kafka Airflow PostgreSQL Snowflake Git CI/CD Prometheus Grafana LibreChat Gemini Glean

What you'll do

  • Own and evolve CX's Downstream Impact of Support revenue calibration models.
  • Design and execute experiments to measure the impact of CX programs on customer retention.
  • Build LLM-powered classification pipelines for CX contact taxonomy and issue attribution.
  • Define segmentation models to enable personalized experiences and improve business outcomes.
  • Maintain statistical rigor in CX analytics, ensuring model outputs meet executive standards.

What we're looking for

  • 5+ years of experience building revenue attribution or causal impact models.
  • Strong background in statistical concepts like A/B testing and causal inference.
  • Expertise in designing and deploying LLM-based classification pipelines.
  • Proven ability to influence stakeholders by translating complex data into clear narratives.
  • Experience driving impactful data science projects with ambiguous problem spaces.
  • Demonstrated use of generative AI tools in daily workflows for business improvements.

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