Job Description
<h3>📋 Description</h3> • Data Lake Management: Cleaning, filtering, and optimization of XO Health's data lake to ensure high-quality data for AI initiatives.
• Business Analytics: Support business operation by doing data analysis, uncovering trends and insights that inform decision-making. Build and maintain dashboards and reporting tools to help internal teams.
• AI Model Development & Deployment: Development and deployment of AI/ML models within the organization, focusing on delivering impactful solutions.
• Data Architecture & Pipelines: Implement robust data architecture, including database schemas (Graph DB, SQL, NoSQL), and efficient ETL/ELT pipelines to support scalable algorithm deployments aligned with business priorities.
• Proof of Concept Development: Development of technology proof-of-concepts to validate new data and cloud solutions. Experiment with new AI Technologies.
• Cross-Functional Collaboration: Effectively communicate and collaborate with internal XO Health teams to ensure alignment on AI initiatives. <h3>🎯 Requirements</h3> • Bachelor’s or Master’s degree in a STEM field (Computer Science, Engineering, etc.) or equivalent experience.
• 3+ years of experience in data engineering, data science, software engineering, or ML Ops specializing in AI and ML deployment.
• 1+ years of experience designing and supporting production-level cloud solutions.
• Strong proficiency in:
• Python (required)
• SQL
• Linux CLI
• 1+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL).
• Ability to clearly communicate (verbal and written) data findings and help turn insights into practical next steps for stakeholders. <h3>🏖️ Benefits</h3> • Equal opportunity employer
• Committed to diversity and inclusion in the workplace
• Drug-free workplace