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 skilled in coding, reasoning, STEM, multilinguality, multimodality, and agent technologies. Additionally, Turing helps enterprises transition AI initiatives from proof of concept to proprietary intelligence, delivering reliable systems that generate measurable business impact and drive long-term profitability.

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, build, and validate robust data pipelines integral to benchmarking and evaluation processes.
- Perform data processing, feature preparation, analysis, and validation to support various data science use cases.
- Develop, run, and modify Python scripts to process data and facilitate experiments in local environments.
- Assess data quality, transformations, and outputs to ensure accuracy, reproducibility, and reliability.
- Create clean, well-documented, and reusable data workflows tailored for benchmarking purposes.
- Participate in code reviews to uphold high standards of code quality, maintainability, and best practices.
- Collaborate closely with researchers and engineers to design challenging, real-world data engineering and data science tasks that enhance AI system performance.

Required Qualifications:
- Minimum of 3 years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a strong data focus.
- Proficiency in Python programming, 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 fundamentals and data science principles.
- Hands-on experience handling both structured and unstructured data formats.
- Ability to comprehend, navigate, and modify complex, real-world codebases effectively.
- Skilled in writing readable, reusable, maintainable, and well-documented code.
- Strong problem-solving abilities, including experience addressing algorithmic or data-intensive challenges.
- Excellent verbal and written communication skills in English.

Preferred Qualifications and Benefits:
- Opportunity to work fully remotely, providing flexibility and work-life balance.
- Engage with cutting-edge AI projects alongside leading companies specializing in large language models (LLMs).
- Contractor engagement 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).
- Contract duration is initially 3 months, with the possibility of extension based on performance and project needs.
- Note that this is a contractor role without medical benefits or paid leave.

Evaluation Process:
Candidates will undergo a technical interview featuring a live coding challenge lasting approximately 60 minutes to assess their skills and suitability for the role.