Lead Data Scientist (AI/ML/NLP)
4 Staffing CorpNew York, New York, United States • United States
Posted December 11, 2025
Full Time
About the Company
4 Staffing Corp is a global staffing and recruitment firm that specializes in placing high‑skill professionals across IT, finance, engineering, and manufacturing sectors, including ERP, cybersecurity, SAP, Salesforce, and AI/ML solutions. Leveraging a proprietary candidate‑to‑job matching platform built by recruiters and IT experts, the company maintains a database of tens of thousands of pre‑qualified candidates, enabling rapid, high‑quality placements through contingency, contract, temp‑to‑perm, and RPO services. With more than two decades of experience and a worldwide affiliate network, 4 Staffing emphasizes long‑term relationships, integrity, and customer‑centric service rather than short‑term gains. Its entrepreneurial culture encourages open communication and continuous improvement, ensuring that both clients and candidates receive a personalized, value‑driven experience.
Job Description
Our client is in search of a talented Lead Data Scientist to play a pivotal role in reshaping their approach to data-driven decision-making and innovation.
Requirements
- Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field.
- PhD with 6+ years of experience or Master's degree with 8+ years of experience, preferred.
- 7+ years of hands-on ML modeling/development experience.
- Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP).
- Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions.
- Strong programming skills in Python including PyTorch and/or Tensorflow.
- Solid background in algorithms and a range of ML models.
- Experience leading teams of four or more Data Scientists.
- Excellent communication skills and the ability to collaborate cross-functionally with Product, Engineering, and other disciplines at both leadership and hands-on levels.
- Excellent analytical and problem-solving abilities with superb attention to detail.
- Proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills to ensure enterprise success.
