Remote Data Scientist (ML)

About This Role

Join Turing as a Remote Data Scientist with a focus on Machine Learning, leveraging your Python expertise to build and optimize high-performance systems for large-scale AI and data pipelines. You will collaborate with AI researchers to advance frontier model capabilities and solve mission-critical priorities for companies.

Responsibilities

• Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines
• Design and maintain modular, clean, and production-ready Python codebases
• Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components
• Write efficient, maintainable, and testable code with strong focus on algorithms and data structures
• Stay current with modern Python tools, frameworks, ML advancements and best practices

Requirements

• 4+ years of professional experience writing Python in production environments
• Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, Pytorch, Transformers, or similar)
• Proven track record on coding platforms (LeetCode, Codeforces, HackerRank, or Kaggle competitions)
• Experience with system design, clean architecture, and performance optimization
• Working level Proficiency in either Machine Learning or Data Science for Machine Learning

Qualifications

• Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field
• 4+ years of professional experience writing Python in production environments

Nice to Have

• Recognized performance in Kaggle, Codeforces, or ICPC/TopCoder contests
• Deep curiosity for performance tuning, scalability, and elegant code design

Skills

* Required skills