Data Scientist/Analyst

Turing’s interview process usually consists of a 60‑minute technical round that tests Python proficiency, data manipulation, and AI fundamentals, followed by a short cultural fit discussion. The questions are moderately challenging, focusing on real‑world scenarios rather than obscure theory. Candidates should practice coding in Jupyter, be ready to discuss dataset cleaning pipelines, and demonstrate clear communication of their analytical approach.

Turing promotes a results‑driven remote work culture where engineers enjoy flexibility and autonomy. The company invests heavily in continuous learning, offering mentorship from senior AI researchers and regular knowledge‑sharing sessions. Employees benefit from a balanced workload, with clear expectations and generous overlap windows that accommodate global collaboration.

Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics or related fields; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs at the time of joining; fresh graduates or candidates with up to 1 year of relevant experience; strong command of English (both spoken and written).

Round 1: Technical interview (60 minutes) focusing on Python coding, data analysis concepts, and AI fundamentals → Round 2: Cultural fit & offer discussion (15 minutes) → Round 3: HR round covering compensation, contract terms, and onboarding details

Turing is a rapidly expanding AI company that partners with world‑leading research labs to push the boundaries of artificial intelligence. Founded with the vision of democratizing access to cutting‑edge models, Turing builds end‑to‑end AI solutions for enterprises across the United States. The firm’s culture blends the agility of a startup with the rigor of a research institute, offering engineers the chance to work on frontier technologies such as large language models, multimodal reasoning, and reinforcement learning from human feedback. Employees enjoy a fully remote setup, flexible hours, and exposure to global clients, making Turing an attractive destination for ambitious technologists. The Data Scientist/Analyst role is crafted for fresh graduates or early‑career professionals who are passionate about turning raw data into actionable insights while contributing to the development of next‑generation AI systems. As a member of the data team, you will write clean, production‑grade Python code, explore public datasets (Kaggle, UN, US government portals), and help shape the evaluation framework that measures model performance. Your analytical mindset will be crucial for diagnosing model failures, designing fine‑tuning pipelines, and communicating findings to researchers and product owners. Key Responsibilities: 1. Design, develop, and maintain high‑quality Python scripts for data preprocessing, model training, and evaluation. 2. Conduct systematic evaluations (Evals) to benchmark AI model outputs against predefined criteria. 3. Create and curate task‑specific datasets for Supervised Fine‑Tuning (SFT). 4. Collaborate with annotators and researchers to implement Reinforcement Learning with Human Feedback (RLHF). 5. Develop clear, reproducible documentation and Jupyter notebooks that explain methodology and results. 6. Analyze large public datasets to extract business‑relevant insights and answer stakeholder queries. 7. Participate in peer code reviews, offering constructive feedback and ensuring best practices. 8. Propose and prototype innovative evaluation strategies to improve model alignment and ethical compliance. 9. Work closely with cross‑functional teams to integrate model improvements into product releases. 10. Stay updated with emerging tools, libraries, and research trends to continuously enhance the AI training workflow. Tech Stack: Python, Pandas, NumPy, Scikit‑learn, PyTorch/TensorFlow, Jupyter Notebook, SQL, Git, Docker, cloud platforms (AWS/GCP). Growth Path: Starting as a Data Scientist/Analyst, high performers can progress to Senior Data Scientist, AI Research Engineer, or Product Lead roles, with opportunities to lead cross‑functional AI projects and influence product strategy. Why Join Turing? You will work remotely with a globally distributed team, gain hands‑on experience with state‑of‑the‑art AI models, and contribute to products that impact millions of users. The role offers a blend of data engineering, research, and business analytics, providing a solid foundation for a long‑term career in AI.