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Data Scientist II, FinAuto - Amazon.com
Data Scientist
Data Scientist II focused on building scalable financial transaction systems on AWS, leveraging Python, SQL, and machine learning to process billions of dollars in daily transactions and support complex business rules in a distributed architecture.
About the role
Key Responsibilities
- Design, develop, and maintain high‑throughput data pipelines for real‑time financial transaction processing using Python and AWS services.
- Apply machine learning techniques to detect anomalies, forecast demand, and optimize pricing models for millions of daily transactions.
- Collaborate with data engineers to ensure data quality, consistency, and compliance across distributed systems.
- Implement scalable SQL and NoSQL solutions to store and query large volumes of transactional data.
- Participate in architecture reviews, performance tuning, and capacity planning for cloud‑native services.
Requirements
- 3+ years of experience in data science or analytics within a large, distributed environment.
- Proficiency in Python, SQL, and AWS (S3, Redshift, EMR, Lambda).
- Strong background in machine learning, statistical modeling, and data visualization.
- Experience with data engineering concepts: ETL, data lakes, and real‑time streaming.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced setting.
Skills
pythonawsmachine learningsql