Job Description Help for Partial Job Description. Opens a new window. Skills

• Artificial Intelligence
• Data Science
• Kubernetes
• Machine Learning (ML)
• Machine Learning Operations (ML Ops)
• Software Engineering
• Python
• SQL
• Workflow
• Lifecycle Management
• Docker
• Data Modeling
• IT Management
• Continuous Integration
• Continuous Delivery
• Computer Science
• Cloud Computing
• Artificial Intelligence
• Data Science
• Kubernetes
• Machine Learning (ML)
• Machine Learning Operations (ML Ops)
• Software Engineering
• Python
• SQL
• Workflow
• Lifecycle Management
• Docker
• Data Modeling
• IT Management
• Continuous Integration
• Continuous Delivery
• Computer Science
• Cloud Computing

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Summary 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.

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