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Data Scientist II - Amazon
Data Scientist
Mid‑level data scientist responsible for designing scalable decision‑making solutions, applying advanced analytics, and automating insights using Python, SQL, and machine‑learning techniques on AWS.
About the role
Key Responsibilities
- Design and implement scalable, production‑ready models and algorithms to automate business decision processes.
- Develop and execute statistical analyses, A/B tests, and predictive models to solve ambiguous, high‑impact problems.
- Extract, transform, and validate large datasets from internal and external sources using SQL and Python.
- Collaborate with product, engineering, and business stakeholders to translate requirements into analytical solutions.
- Deploy and monitor models on AWS services, ensuring reliability and performance.
Requirements
- 2+ years of experience applying machine‑learning and statistical techniques to real‑world business problems.
- Proficiency in Python (pandas, scikit‑learn, PySpark) and strong SQL querying skills.
- Hands‑on experience with AWS services such as S3, SageMaker, or EMR.
- Solid understanding of experimental design, hypothesis testing, and A/B testing methodologies.
- Excellent communication skills to convey complex analytical findings to non‑technical audiences.
Skills
pythonsqlmachine learningaws