Data Scientist/Analyst

Turing’s interview process typically consists of a 60‑minute technical round focusing on Python coding, data manipulation, and model evaluation concepts, followed by a short 15‑minute cultural fit discussion. Questions often revolve around dataset cleaning, evaluation metrics, and scenario‑based problem solving. Preparing with real‑world datasets and clear explanation of your thought process greatly helps.

Turing promotes a results‑oriented, fully remote work culture where engineers enjoy flexibility and autonomy. Employees receive regular feedback, mentorship, and opportunities to work on high‑impact AI projects, fostering rapid professional growth while maintaining a healthy work‑life balance.

Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2024‑2026; no active backlogs at the time of joining; strong command of English (both spoken and written).

Round 1: Technical interview (60 mins) → Round 2: Cultural fit & offer discussion (15 mins)

Turing is one of the world’s fastest‑growing artificial‑intelligence companies, dedicated to accelerating the development and deployment of powerful AI systems. By partnering with leading AI labs, Turing pushes the boundaries of model capabilities in reasoning, coding, multimodality, and more. The company also translates these breakthroughs into real‑world solutions for Fortune‑500 customers, tackling mission‑critical challenges across industries. With a culture that blends cutting‑edge research with product‑focused engineering, Turing offers a unique environment where innovators can see their ideas move from prototype to production at scale. The Data Scientist/Analyst role is crafted for fresh graduates or early‑career professionals who have a strong foundation in Python and a passion for turning raw data into actionable insights. You will work remotely with US‑based clients, helping them build and fine‑tune large language models (LLMs) and other AI products. Your day‑to‑day will involve writing clean, reproducible Python code, exploring public datasets (Kaggle, UN, US government portals), and documenting findings in Jupyter notebooks or similar platforms. Strong analytical thinking, business sense, and clear communication are essential, as you will regularly interact with researchers, annotators, and product teams. Key responsibilities include: 1. Design, develop, and maintain high‑quality Python code for training and optimizing AI models. 2. Conduct systematic evaluations (Evals) to benchmark model performance and suggest improvements. 3. Rank AI model responses against predefined criteria and generate detailed rationales. 4. Lead supervised fine‑tuning (SFT) initiatives by creating and curating task‑specific datasets. 5. Collaborate with researchers and annotators to implement Reinforcement Learning with Human Feedback (RLHF). 6. Invent innovative evaluation strategies that align models with user needs and ethical standards. 7. Produce clear, concise documentation and peer‑review code for continuous quality enhancement. 8. Respond to business queries using public datasets, delivering insights that drive decision‑making. 9. Stay updated with emerging tools, techniques, and best practices in AI training pipelines. 10. Participate in cross‑functional meetings to influence product road‑maps and model improvements. Tech stack: Python, Jupyter, Pandas, NumPy, Scikit‑learn, PyTorch/TensorFlow, Git, REST APIs, cloud platforms (AWS/GCP). The role offers a clear growth path—from junior analyst to senior data scientist, and eventually to AI research engineer or product lead—depending on performance and learning appetite. Joining Turing means exposure to world‑class AI research, mentorship from seasoned scientists, and the chance to contribute to products used by industry giants like Nvidia, Disney, and Reddit. The fully remote setup, flexible hours, and collaboration with global teams make it an attractive launchpad for anyone eager to shape the future of artificial intelligence.