Lead Data Scientist

Lead Data Scientist

Location: Boca Raton, FL
Work Model: 5 days onsite
Duration: 6-month (W2)

Relocation: Accepted

We are seeking an experienced Lead Data Scientist to design, develop, deploy, and manage production-grade Machine Learning and AI solutions. This position requires a hands-on technical leader capable of translating complex business problems into scalable ML solutions and owning projects throughout the complete model lifecycle.

Key Responsibilities

• Design advanced Machine Learning and AI solutions for complex business problems.

• Lead business problem framing, feature engineering, algorithm selection, and model architecture.

• Build and optimize model training pipelines.

• Perform hyperparameter tuning and model validation.

• Establish model evaluation frameworks tied to measurable business outcomes.

• Conduct fairness, bias, and error analysis.

• Deploy ML models into production environments.

• Develop CI/CD workflows for ML applications.

• Utilize containerization and orchestration technologies such as Docker and Kubernetes.

• Implement model monitoring, data/model drift detection, logging, alerting, and automated retraining.

• Develop production-grade solutions using Python and SQL.

• Communicate model results, technical trade-offs, and business impact to stakeholders.

• Mentor junior Data Scientists and provide technical leadership.

Required Qualifications

• 5–8+ years of relevant Data Science, Machine Learning, predictive analytics, econometrics, software engineering, or data engineering experience.

• Expert-level Python and SQL.

• Strong Machine Learning and AI architecture experience.

• Production ML deployment experience.

• Strong understanding of MLOps and ML lifecycle management.

• CI/CD pipeline experience.

• Docker and Kubernetes experience.

• Model monitoring and drift detection experience.

• Experience working with cloud-based ML environments.

• Strong communication and mentoring skills.

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or related discipline, or equivalent experience.

• Master's degree in a related discipline is preferred.

📩 Please send your updated resume to