Senior AI Data Scientist / Analytics Engineer

Team Red Dog is building a pipeline of qualified candidates for an anticipated Senior AI Data Scientist / Analytics Engineer opportunity with a leading cloud and software provider. This role will focus on enterprise-scale analytics, ETL/ELT pipeline development, predictive modeling, and cloud-based data engineering initiatives that support advanced business intelligence and AI/ML solutions.

Responsibilities:

• Partner with senior leadership, engineering teams, analysts, and business stakeholders to define enterprise analytics and data strategy initiatives
• Design, develop, automate, and maintain scalable ETL/ELT pipelines and enterprise data workflows
• Build and optimize logical and physical database designs, schemas, and enterprise data structures
• Analyze structured and unstructured datasets to support business intelligence, predictive analytics, and AI/ML initiatives
• Improve data quality, governance, accessibility, and operational reliability across enterprise systems
• Optimize database systems, analytics platforms, and data processing solutions for scalability and performance
• Troubleshoot complex data integration, performance, and data quality issues while implementing sustainable solutions
• Support cloud-based analytics environments and enterprise data infrastructure modernization efforts
• Create and maintain technical documentation for data workflows, governance standards, and enterprise analytics solutions
• Collaborate cross-functionally to support data-driven business initiatives and strategic decision-making

Requirements:

• Deep experience building, optimizing, and supporting large-scale relational databases, enterprise data models, and high-performance analytics environments across complex business systems
• Strong expertise designing, automating, and maintaining scalable ETL/ELT workflows that support enterprise reporting, analytics, AI/ML, and cloud-based data platforms
• Hands-on experience using scripting and programming languages to automate data processing, support advanced analytics, troubleshoot data workflows, and improve operational efficiency
• Experience working with modern cloud data ecosystems, large-scale datasets, and enterprise analytics environments to improve scalability, governance, reliability, and accessibility
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems, or related technical field
• 8–10 years of experience in data science, analytics engineering, ETL development, database engineering, or related enterprise data roles
• Advanced experience with SQL, relational databases, and enterprise database technologies
• Strong hands-on experience building and supporting ETL/ELT pipelines and enterprise data integration workflows
• Proficiency with Python, R, Shell scripting, or other programming languages used for analytics and automation
• Experience working within cloud-based data platforms and enterprise analytics ecosystems
• Strong analytical, troubleshooting, and problem-solving capabilities
• Experience supporting large-scale datasets, advanced analytics initiatives, and enterprise reporting environments
• Excellent written and verbal communication skills with the ability to communicate technical concepts to non-technical stakeholders
• Ability to independently lead initiatives while collaborating effectively across technical and business teams