Senior Product Data Scientist
KAKE,INC
United States
12 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English
Job source
Tech stack
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
+2 more
Data Analytics
Streamlit Framework
Job 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
Requirements
- 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
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Prepare application
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