Experienced Data Scientist
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 looking for a highly skilled individual with a background in experimentation and causal inference to join their team. The role involves developing advanced data science solutions using machine learning and artificial intelligence to drive innovation across various business areas and products.
Requirements
- 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.
- Hands-on experience of at least 3 years in ML modeling and development.
- Strong theoretical understanding of probability and statistics, as well as expertise in causal inference techniques.
- Proven ability to formulate hypotheses for assessing consumer behavior, design, execute, and deploy experiments.
- Proficiency in Python programming, with skills in PyTorch and/or Tensorflow.
- A solid background in algorithms and familiarity with various ML models.
- Exceptional communication skills and the capacity to collaborate effectively across different teams, including Product, Engineering, and other functional areas, at both leadership and hands-on levels.
- Strong analytical and problem-solving capabilities with acute attention to detail.
- Demonstrated leadership in providing technical guidance and mentoring to data scientists, along with effective management skills for tracking and monitoring performance to ensure success within the organization.
