Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
About the role
- Data Scientist at PulseRise Technologies driving data-informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
Responsibilities
- Design scalable data models to analyze transaction flows, routing behavior, and user journeys
- Build and maintain reliable data pipelines and transformations ensuring data quality and reproducibility
- Partner with CFO and leadership to analyze unit economics, revenue drivers, and growth performance
- Define and track product KPIs such as conversion, retention, engagement, and cohort performance
- Design and execute experiments (A/B testing, causal inference, uplift modeling)
- Translate complex quantitative findings into clear, actionable insights for technical and non-technical stakeholders
- Analyze market behavior and liquidity patterns within crypto or DeFi ecosystems
- Support roadmap decisions with production-grade data insights
Requirements
- 5+ years of experience using Python and SQL in data science or analytics roles
- Strong background in statistics, experimentation design, and causal inference
- Experience analyzing user behavior, funnels, retention, and product performance
- Experience working with modern data platforms (Redshift, Snowflake, Databricks)
- Experience with data transformation/orchestration tools such as dbt
- Strong communication skills and ability to explain complex analysis clearly
- Experience working in cross-functional environments
- Nice to Have: Experience analyzing large-scale transaction or financial datasets (payments, trading, lending)
- Nice to Have: Experience with ML libraries (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus)
- Nice to Have: Familiarity with spreads, slippage, liquidity dynamics in crypto markets
- Nice to Have: Background in fintech, crypto analytics, or DeFi protocols
- Nice to Have: Deep interest in Web3 infrastructure and onchain ecosystems
Benefits
- Hybrid work model (4 days in-office)
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