Data Scientist/Analyst

Turing is recruiting a remote, full-time Data Scientist/Analyst proficient in Python to work with US-based companies on commercial and research AI solutions. This role focuses on advancing frontier AI model capabilities by engineering code, conducting data-driven business analyses, benchmarking model performance, and generating high-quality task-specific datasets.

Key Responsibilities

• Code & Dataset Engineering: Design and develop efficient Python code to train, optimize, and evaluate AI models, while leading Supervised Fine-Tuning (SFT) dataset creation.

• Model Evaluation & Alignment: Evaluate and rank AI model responses, perform performance evaluations (Evals), and write comprehensive reasoning rationales to improve model alignment.

• Research Collaboration: Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF), refine reward models, and develop optimal response strategies.

• Analytical Problem Solving: Extract insights from public databases (e.g., Kaggle, UN, US government) to answer business queries, clearly document reasoning inside Jupyter notebooks, and fix code bugs.

• Quality Assurance: Conduct thorough peer reviews of code and documentation, provide constructive feedback, and collaborate across teams to enhance training processes.

Requirements Core Tech Stack & Abilities

• Programming & Tools: Proficiency in Python, Jupyter notebooks, and data analytics tools.

• Analytical Skills: Strong data analytic abilities, business acumen, and problem-solving skills to draw and clearly convey findings from datasets.

• Communication: Flawless written and conversational English communication skills to collaborate with global stakeholders and researchers.

Education

• Degree: Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent practical experience.

Work Structure & Contract Details

• Employment Type: Contractor assignment (freelance framework, no medical or paid leave).

• Duration: 1-month contract with an expected start date of next week.

• Time Commitment: Options for 20, 30, or 40 hours per week, requiring at least 4 hours per day with a minimum 4-hour overlap with Pacific Standard Time (PST).

• Work Setup: Fully remote.

Evaluation Process

The evaluation process takes approximately 75 minutes across two stages:

1. Technical Interview: 60-minute technical evaluation.

2. Cultural & Offer Chat: 15-minute cultural assessment and offer discussion.