Data Scientist

Data Scientist Contract Type:

Contractor Location:

Juno Beach Industry:

IT Contact Name:

Katie Jreij Contact Phone:

Date Published:

20-Apr-2026 Data Scientist Juno Beach, FL (100% on-site)

Duration:

12-month contract (W2, not eligible for C2C)

Pay:

$74-79/hr This position focuses on building and delivering end-to-end AI and machine learning solutions, spanning the full lifecycle from data ingestion and pipeline development to model creation, deployment, and monitoring. The role requires a versatile professional who can seamlessly move between data engineering and advanced analytics, and who is comfortable working in a dynamic, cross-functional environment. Key Responsibilities Design and develop scalable data pipelines to ingest and process procurement, materials, and financial data from enterprise systems into cloud-based analytics platforms Build, train, validate, and deploy machine learning models for use cases such as spend classification, commodity categorization, materials deduplication, and data enrichment Develop and manage layered data architectures (e.g., Bronze/Silver/Gold) to ensure high data quality, traceability, and governance Implement agentic AI workflows to support multi-step reasoning, classification tasks, and end-to-end procurement tracking scenarios Partner with ERP and functional teams to extract, interpret, and translate business data into actionable analytical solutions Manage the full ML lifecycle, including model registration, versioning, deployment, monitoring, and retraining Create dashboards and reporting solutions that deliver clear, actionable insights to stakeholders Collaborate with cross-functional subject matter experts to solve complex supply chain and procurement challenges using data-driven approaches Perform exploratory data analysis and support ad hoc data requests across multiple business units Operate within Agile/SAFe frameworks, contributing to sprint planning, backlog management, and technical documentation Required Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field Minimum of 4 years of experience spanning data engineering and data science Strong proficiency in Python and SQL Hands-on experience with at least one major cloud platform (e.g., AWS, GCP, or Databricks) Preferred Qualifications Master's degree in a quantitative discipline Experience working with ERP systems or enterprise data integration Familiarity with agentic AI frameworks and LLM-driven automation Background in utilities, energy, or similar industries Experience working in Agile or SAFe delivery environments ...