Senior Data Scientist
Coinbase- Munkavégzés
- Remote
- Szint
- Senior
- Terület
- Data
- Típus
- Full-time
A munkáltató nem közölt fizetési sávot.
Amit érdemes tudni
- Remote · Ismeretlen
- Távmunka-megjelölés további földrajzi adat nélkül — nem automatikus igen.
- Szint: Senior
- Fizetés: nem közölt
Helyszín és jogosultság
Távmunka-megjelölés további földrajzi adat nélkül — nem automatikus igen.
Remote - Singapore
Megbízhatóság: 42%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.
Pozíció
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling.
As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements.
What you'll do:
Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making
Own a broad scope of data and metrics — from core logging to polished data visualizations
Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines
Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders
Required Skills and Experience:
BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience
Proven track record of delivering impactful data science work in ambiguous problem spaces
Ability to synthesize complex data into compelling narratives that influence stakeholders
Practical expertise applying advanced modeling frameworks to real business problems
Professional proficiency in SQL and Python
Experience working with digital products in an iterative development cycle
Embodies our core values: clear communication, positive energy, continuous learning, and efficient execution
Comfort using generative AI tools (e.g., LibreChat, Gemin
Rövidített kivonat. A teljes leírás és a jelentkezés a munkáltató oldalán érhető el.
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