Remote Data Scientist

Turing, headquartered in San Francisco, California, is a leading research accelerator dedicated to advancing frontier AI labs and partnering with global enterprises to deploy sophisticated AI systems. The company accelerates cutting-edge research by providing high-quality data, advanced training pipelines, and access to top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transition AI from experimental stages into reliable, proprietary intelligence systems that deliver measurable business impact and sustainable results.

Key Responsibilities:
- Work with both structured and unstructured datasets to support evaluation tasks modeled on the SWE Bench framework.
- Design, develop, and validate data pipelines that are integral to benchmarking and evaluation workflows.
- Conduct data processing, feature preparation, analysis, and validation for various data science applications.
- Write, execute, and maintain Python code to handle data processing and support experimental workflows locally.
- Assess data quality, transformations, and outputs to ensure accuracy, correctness, and reproducibility.
- Develop clean, well-documented, and reusable data workflows tailored for benchmarking purposes.
- Participate actively in code reviews to maintain high standards of code quality and maintainability.
- Collaborate closely with researchers and engineers to create challenging, real-world data engineering and data science tasks aimed at improving AI system performance.

Required Qualifications:
- At least 3 years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a focus on data.
- Strong proficiency in Python, particularly for data engineering and data science workflows.
- Proven experience in data processing, analysis, and working with model-related workflows.
- Solid understanding of machine learning principles and data science fundamentals.
- Experience handling both structured and unstructured data formats.
- Ability to comprehend, navigate, and modify complex, real-world codebases effectively.
- Demonstrated ability to write readable, reusable, maintainable, and well-documented code.
- Strong analytical and problem-solving skills, especially with algorithmic or data-intensive challenges.
- Excellent verbal and written communication skills in English.

Preferred Qualifications and Benefits:
- Opportunity to work remotely in a fully flexible environment.
- Engage with cutting-edge AI projects alongside leading companies specializing in large language models (LLMs).
- Contractor role requiring a minimum commitment of 4 hours per day and at least 20 hours per week, with a mandatory 4-hour overlap with Pacific Standard Time (PST).
- The contract duration is initially set for 3 months, with the possibility of extension based on performance and project needs.
- This is a contractor assignment without medical benefits or paid leave.

Evaluation Process:
Candidates will undergo a technical interview that includes a live coding challenge lasting approximately 60 minutes.

This role is ideal for professionals passionate about data engineering and data science who want to contribute to impactful AI research and enterprise solutions in a dynamic, remote-first environment.