Senior Data Scientist, CX Analytics

Coinbase, Inc.; United States; Remote; USD 160,000 - 210,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Data Scientist focused on customer experience analytics to build revenue calibration and causal inference models. You will apply rigorous statistical methods to consumer-facing data and leverage LLMs to extract meaningful patterns.

You will work with cross-functional teams to define segmentation signals and ensure analytics outputs support executive decisions and product strategy.

Qualifications

• Strong background in data science and statistics.
• Experience with consumer-facing analytics.
• Proficiency with causal inference methods and experiments.
• Experience using LLMs and NLP in analytics.

Responsibilities

• Develop revenue calibration models and assess downstream impact.
• Translate interaction data into actionable insights for retention and engagement.
• Collaborate with cross-functional teams to define segmentation models and provide executive-ready analytics.

Skills

Data science

Causal inference

Experiment design

ML/NLP

Business metrics

Job description

Coinbase seeks a Senior Data Scientist focused on customer experience analytics. This role involves developing models for revenue calibration and causal inference, leveraging LLMs and statistical rigor. Candidates should have a strong background in data science and experience with consumer-facing analytics.

As a Senior Data Scientist at Coinbase, you will be responsible for the Downstream Impact of Support (DSI) revenue calibration models, translating complex support interaction data into actionable revenue insights. Your work will directly influence customer retention and product engagement through causal inference frameworks and experiments.

You will collaborate with cross-functional teams to define segmentation models and behavioral signals, ensuring that analytics outputs are robust enough for executive reporting. The role emphasizes high statistical rigor and the responsible use of generative AI tools, making it essential for candidates to have a deep understanding of both ML and NLP techniques.