Senior Data Scientist, Product (Crypto)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Data Scientist, Product (Crypto): Leading analytical efforts to launch and grow a global crypto platform with an accent on experiment design and onchain data analysis. Focus on shaping crypto strategy and optimizing feature performance across trading and wallet experiences.
Location: Hybrid (Menlo Park, CA or New York, NY) β in-person attendance expected at least 3 days per week
Salary: $139,000 β $210,000 USD (base pay depends on location)
Company
A financial services company dedicated to democratizing finance for all by building a scalable, blockchain-based global financial ecosystem.
What you will do
- Partner with product managers to identify opportunities across the crypto platform, including trading and tokenized assets.
- Design and evaluate experiments to inform product decisions using clear success metrics.
- Analyze platform and market data to build datasets that power product insights.
- Develop models to assess product performance, user behavior, and market dynamics.
- Communicate findings to engineering, finance, and design stakeholders to support development.
Requirements
- 5+ years of experience in data science, analytics, or a related field.
- Strong proficiency in SQL and Python for data analysis and modeling.
- Proven experience designing experiments and interpreting results to guide product decisions.
- Domain knowledge in crypto, including onchain data and DeFi ecosystems.
- Must be based in or able to work from Menlo Park, CA or New York, NY (hybrid).
Culture & Benefits
- Performance-driven compensation with bonuses and equity ownership.
- Comprehensive benefits including 100% paid health insurance for employees.
- 401(k) matching and employer-paid life and disability insurance.
- Flexible Lifestyle wallet for wellness and learning.
- Generous paid time off, sick leave, and parental leave.
- Premium office experience with catered meals and events.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β