Data Scientist (Fintech / Onchain Analytics) at PulseRise Technologies

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Statistics, Experimentation Design, Causal Inference, A/B Testing, Uplift Modeling, Data Modeling, Data Pipelines, Unit Economics, KPI Tracking, Redshift, Snowflake, Databricks, dbt, Communication

Industry

Information Services

Description

HYBRID IN NEW YORK We are looking for an experienced Data Scientist to drive data-informed decision-making across product, finance, and engineering within a fast-growing crypto payments infrastructure company. This role sits at the intersection of onchain analytics, product experimentation, and business performance optimization. You will transform transaction flows, routing behavior, and user journey data into insights that directly shape roadmap and growth strategy. The position requires strong statistical expertise, hands-on experimentation experience, and comfort working with large-scale financial datasets. You will collaborate closely with product leaders and the CFO to evaluate unit economics, conversion funnels, and market dynamics. This is a high-ownership role based in New York City, working in-person with the core team. Details Location: NYC Work Model: Hybrid (4 days in-office) Employment Type: Full-time Industry: Fintech / Crypto Infrastructure Start Date: ASAP Key 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) Experience with ML libraries (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus) Familiarity with spreads, slippage, liquidity dynamics in crypto markets Background in fintech, crypto analytics, or DeFi protocols Deep interest in Web3 infrastructure and onchain ecosystems

Responsibilities

The Data Scientist will be responsible for designing scalable data models to analyze transaction flows and user journeys, and partnering with leadership to analyze unit economics and growth performance. Key tasks include defining product KPIs, executing experiments, and translating quantitative findings into actionable insights.