Data Scientist 3 - Machine Learning, Data Engineering & Python

Adobe Media and Data Science Research (MDSR) Laboratory

Python and applied data science/machine learning
Data engineering and scalable data pipelines
Sql for data extraction and analysis
Build production-ready solutions that move from insights to predictive modeling and actionable outcomes

Job Summary

  • Build production-ready solutions that move from insights to predictive modeling and actionable outcomes.
  • Design, build, and maintain robust data pipelines to ingest, process, and transform large-scale data.
  • Own individual DS/ML and data engineering components end-to-end, including system-level design and data workflows.

Matching Summary

Build production-ready solutions that move from insights to predictive modeling and actionable outcomes.

Skills & Requirements

Must-have

  • Python and applied Data Science/Machine Learning
  • Data Engineering and scalable data pipelines
  • SQL for data extraction and analysis
  • Distributed data processing frameworks (e.g., Spark)
  • Feature engineering and validation
  • ML-backed APIs development

Nice-to-have

  • MLOps exposure and best practices
  • Cloud-based data platforms experience
  • Data governance and quality frameworks

Key Requirements

  • Strong hands-on experience in Python
  • Solid experience in Data Engineering
  • Proficiency in SQL
  • Experience with distributed data processing frameworks
  • Understanding of data structures & algorithms (DSA)

Work Rights

Not specified

Tailored Resume

Cover Letter