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coinbase

Senior Data Scientist, Product

Coinbase seeks a talented Senior Data Scientist to join our high-impact Product team dedicated to enhancing user value. This role requires you to dive deep into complex datasets concerning user behavior, transaction flows, and platform usage across various geographies. You will be tasked with designing rigorous quantitative studies, implementing causal inference methods, and building predictive models that guide strategic product roadmaps. Core responsibilities include owning the metric definition for key features, identifying underlying performance drivers, developing advanced statistical analyses (e.g., time-series modeling), and collaborating closely with Product Managers to ensure data-backed decision-making at every stage of development. Strong expertise in Python/R and SQL is essential.

coinbase Remote - UK, United Kingdom

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2100

Question set

200

Duration

Permanent

Focus areas

Data ScienceProduct AnalyticsA/B TestingPython

People Also Ask (FAQs)

What is the last date to apply for Senior Data Scientist, Product?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Senior Data Scientist, Product?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the coinbase test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Senior Data Scientist, Product test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Science, Product Analytics, A/B Testing, Python.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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