Senior Data Scientist (AI/ML)
4 Staffing CorpNew York, New York, United States
Posted January 5, 2026
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 looking for an experienced individual contributor with expertise in production-ready AI/ML solutions. In the role of Senior Data Scientist, you will be part of a team of Data Scientists, focused on developing advanced data science solutions that utilize machine learning and artificial intelligence to drive innovation across various business lines and products.
Requirements
- A PhD with 2+ years of experience or a Master's degree with 4+ years of experience in fields such as Statistics, Computer Science, Engineering, Applied mathematics, or related disciplines.
- A minimum of 3 years of hands-on experience in ML modeling and development.
- Strong understanding of data analysis and statistical modeling.
- Knowledge of various machine learning techniques and their real-world applications and limitations.
- Proven track record in experimental design and execution.
- Hands-on experience with data wrangling, including fuzzy matching and regular expressions, distributed computing, and parallelism in ML solutions.
- Proficient programming skills in Python.
- Solid background in algorithms and familiarity with a range of ML models.
- Excellent communication skills and the ability to collaborate effectively across different teams.
- Outstanding analytical and problem-solving abilities with meticulous attention to detail.
- Demonstrated leadership in providing technical guidance and mentoring to data scientists, along with effective management skills for monitoring and tracking performance to ensure success within the organization.
