Back to All Roles Directory
Data & AI• Sourcing Cheat Sheet
Boolean Search Strings for Data Scientist & Machine Learning (NLP & LLM)
Data Scientists and Machine Learning Engineers train statistical models, develop deep learning algorithms, and fine-tune large language models for production inference. Use the pre-tested Boolean queries below to instantly source active and passive talent across LinkedIn, Google X-Ray, Dice, and GitHub.
Copy Ready-to-Use Search Strings
Click to copyWorks in any ATS, LinkedIn Recruiter, or Job Board
("Data Scientist" OR "Machine Learning Engineer" OR "ML Engineer" OR "AI Engineer") AND Python AND (PyTorch OR TensorFlow OR "Scikit-Learn") AND (NLP OR "Computer Vision" OR "Deep Learning" OR LLM OR GenAI) AND SQL
Need customized Boolean from your actual JD requirements?
Generate from Full JDCore Must-Have Skills
PythonMachine Learning (Scikit-Learn / XGBoost)Deep Learning (PyTorch / TensorFlow)SQLNLP / LLMs / GenAI
These keywords form the mandatory `AND` clauses of the boolean strings.
High-Signal Secondary Skills
MLOps (MLflow, Kubeflow)Pandas / NumPyHugging FaceData Visualization (Tableau, PowerBI)Feature Engineering
Use these in optional `OR` blocks to narrow search results when volume is too broad.
Recruiter Sourcing Insights for Data Scientist & Machine Learning Engineer
- 1Distinguish between research data scientists and production ML engineers by checking for "MLOps", "Docker", or API inference experience.
- 2In generative AI searches, look for specific modern tools like "LangChain", "LlamaIndex", "Hugging Face", or "RAG" (Retrieval-Augmented Generation).
- 3Look for candidates with published papers (arXiv, NeurIPS, ICML) or high Kaggle rankings for advanced algorithmic roles.
Explore Related Technical Roles
Have a unique Job Description with specific requirements?
Don't build complex Boolean from scratch. Paste any client JD into our AI Boolean Generator to extract required skills, synonyms, and ready-to-run X-Ray strings in seconds.