Staff Data Scientist

JCT Recruiting

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

✨ AI Apply

Lead

CloudPythonPyTorchSQLTensorflow

About the role

Lead the design, development, and continuous improvement of advanced statistical, machine learning, and Generative AI models, focusing on talent marketplace matching, recommendation systems, and predictive analytics.
Conduct research-driven initiatives to improve scalability, interpretability, and real-world performance of AI models to deliver measurable impact for enterprise customers.
Build robust experimentation frameworks, including A/B testing, causal inference, and advanced statistical validation, to guide algorithmic and product decisions.
Partner with engineering teams to ensure models are deployed efficiently, monitored effectively, and optimized for production performance.
Collaborate closely with product managers, AI specialists, and client-facing teams to align data science initiatives with customer needs and business goals.
Stay ahead of emerging trends in AI and GenAI, recommending innovations and best practices.
Contribute thought leadership by publishing research, presenting at conferences, and mentoring peers.
Serve as a technical leader and role model: low-ego servant leadership, cross-team collaboration, player-coach mentality, and business-oriented problem solving.

Ph.D. in a STEM discipline (Mathematics, Computer Science, Statistics, Physics, Engineering) with a significant research component.
Strong expertise in mathematical modeling, optimization algorithms, and statistical analysis.
Proven track record in designing, validating, and deploying machine learning and Generative AI models, ideally within marketplace or recommendation system contexts.
Proficiency in industry-standard data science tools and frameworks (Python, TensorFlow, PyTorch, SQL) and familiarity with cloud-based data platforms.
Ability to distill complex analytical findings into actionable insights for technical and non-technical stakeholders.
Excellent communication and collaboration skills, with experience influencing cross-functional teams.
Demonstrated thought leadership through publications, patents, or conference presentations is highly desirable.