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A leading AI company is looking for a Data Scientist with strong Python skills and machine learning experience. In this role, you will build and optimize high-performance Python systems for AI and data pipelines, collaborate with cross-functional teams, and ensure code quality. Ideal candidates should have a Bachelor's or Master's in Computer Science, and 4+ years of experience in production environments. This is a remote position offering flexible hours and requires a minimum commitment of 20 hours per week.
Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. We’re looking for a Data Scientist who has excellent hands on Python skills and Machine Learning experience — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle.
Commitment : Minimum 20 hours / week with 4-hour PST overlap (options : 20, 30, or 40 hrs / week).
Contractor (no medical / paid leave).
Duration : 3 months (start date : next week).
Technical Interview (60 mins) : discussion of Python problem-solving, architecture, and system design. After applying, you'll receive a login link by email.
Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com / referrals and earn money for successful referrals.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.