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coinbase

Senior Data Scientist, Product

Coinbase is looking for a highly skilled Senior Data Scientist to join our Product team. This role is critical in bridging the gap between raw data and actionable product strategy across our platform. You will be responsible for developing complex analytical models, designing A/B tests, and creating quantitative insights that directly influence key features and user experience improvements. Key responsibilities include defining core KPIs, performing deep-dive cohort analysis, building scalable dashboards, and presenting findings to executive stakeholders. Ideal candidates possess a strong background in data science, proficiency in SQL, statistical modeling, and the ability to translate ambiguity into measurable business requirements. This role requires curiosity, intellectual rigor, and a passion for decentralized finance.

coinbase Remote - UK, United Kingdom

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

Preparing

1500

Question set

150

Duration

Permanent

Focus areas

Data ScienceProduct AnalyticsMachine LearningSQL

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, Machine Learning, SQL.

Quick start

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

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