Remote Data Scientist

Turing, headquartered in San Francisco, California, is a leading research accelerator dedicated to advancing frontier AI laboratories and supporting global enterprises in deploying sophisticated AI systems. The company accelerates cutting-edge research by providing high-quality data, advanced training pipelines, and expert AI researchers skilled in coding, reasoning, STEM, multilinguality, multimodality, and agent-based systems. Additionally, Turing partners with enterprises to transform AI from experimental concepts into reliable, proprietary intelligence solutions that deliver measurable business impact and drive sustainable results.

Key Responsibilities
- Work extensively with both structured and unstructured datasets to support benchmark-driven evaluation projects focused on real-world data engineering and data science workflows.
- Design, develop, and validate robust data pipelines that facilitate benchmarking and evaluation processes.
- Perform comprehensive data processing, analysis, feature engineering, and validation to support various data science use cases.
- Write, execute, and modify Python scripts to process data and run experiments in local environments.
- Assess data quality, transformations, and outputs to ensure correctness, reproducibility, and reliability.
- Develop clean, well-documented, and reusable data workflows tailored for benchmarking purposes.
- Participate actively in code reviews to maintain high standards of code quality, readability, and maintainability.
- Collaborate closely with researchers and engineers to create challenging, real-world data engineering and data science tasks that enhance AI system performance.

Required Qualifications
- A minimum of 3 years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a strong focus on data-centric workflows.
- Proficiency in Python programming, particularly for data engineering and data science applications.
- Proven experience in data processing, analysis, and working with model-related workflows.
- Solid understanding of machine learning principles and foundational data science concepts.
- Experience handling both structured and unstructured datasets effectively.
- Ability to comprehend, navigate, and modify complex, real-world codebases.
- Strong skills in writing readable, reusable, maintainable, and well-documented code.
- Excellent problem-solving capabilities, especially with algorithmic and data-intensive challenges.
- Strong 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 commitment of at least 4 hours per day and a minimum of 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 engagement needs.
- This is a contractor assignment without medical benefits or paid leave.
- The evaluation process includes a technical interview featuring a 60-minute live coding challenge to assess skills and suitability.

This role is ideal for experienced professionals passionate about data engineering and data science, eager to contribute to impactful AI research and enterprise solutions in a dynamic, remote work setting.