Data Scientist

Responsibilities:

• Build, deploy, and iterate on ML/NLP models and LLM-powered pipelines in production.
• Design embedding-based retrieval, ranking, and classification systems.
• Create evaluation frameworks to measure model and LLM output quality.
• Engineer features and labels from large-scale behavioral and text data.
• Run A/B experiments and tie model performance to business metrics.
• Work with product and engineering teams to turn business problems into ML solutions.

Requirements:

• 1 to 3 years of experience as a data scientist / ML engineer in a product or tech company.
• Strong Python and SQL skills.
• Hands-on experience with NLP and LLMs (prompting, embeddings, LLM pipelines, Gemini/OpenAI APIs).
• Experience shipping ML models to production.
• Solid ML and deep learning fundamentals (PyTorch / TensorFlow).

Skills

LLM, Large Language Models, NLP, PyTorch, Python, TensorFlow