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# Senior Product Data Scientist

- **Company:** KAKE,INC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Data Analysis, Data Cleansing, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Digital Assets, Python (Programming Language), Blockchain, SQL Databases, Snowflake, Data Analytics, Streamlit Framework
- **Published:** August 25, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pf1g9ufmdr

## About the Role

* Proven experience with Python and SQL in a data-focused environment
 * Familiarity with data tools such as Airflow, Snowflake, and Streamlit
 * Strong understanding of analytics best practices and product data workflows
 * Basic knowledge or interest in cryptocurrencies, blockchain technology, and ERC-20 tokens
 * Excellent communication skills in English, both written and verbal
 * Ability to work effectively across time zones with overlap to US hours (preferably Eastern Time)

Nice to Have:

 * Prior experience in fintech, payments, or digital assets
 * Understanding of blockchain data structures or related crypto analytics

## Description

We are seeking a Product Data Scientist to join our team. This position plays a key role in supporting product decision-making through data analysis, reporting, and business intelligence. The ideal candidate will have a strong foundation in analytics and a keen interest in the crypto and blockchain ecosystem.

Core Requirements:

 * Help clear existing backlog and enhance the team's data infrastructure and analytics capabilities
 * Work with ETL processes, analytics, and BI tools to drive actionable insights
 * Create and maintain data pipelines and workflows using Airflow
 * Perform data cleaning, transformation, and combination of existing data tables in Snowflake
 * Collaborate closely with product and engineering teams to deliver accurate reporting and analytics
 * Contribute to Streamlit dashboards and analytical tools


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