Modeling Sustaining Engineer

Responsibilities

• Investigate and resolve complex customer production issues related to decision models, Modeling, recommendations, data ingestion, and business processes.
• Analyze model execution, recommendation generation, data transformations, and platform behavior to identify root causes.
• Triage and prioritize high-priority customer issues while ensuring timely communication and resolution.
• Work closely with Engineering and Product teams to drive permanent fixes and platform improvements.
• Develop deep expertise in customer implementations and become an SME for specific platform capabilities.
• Perform impact analysis and validate fixes before deployment.
• Create and maintain troubleshooting guides, runbooks, and knowledge base articles.
• Proactively identify recurring issues and recommend improvements to reduce support volume.
• Support root cause analysis (RCA) activities and contribute to continuous improvement initiatives.

About You

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 4+ years of experience in enterprise application support, data analytics, business intelligence, modeling, or related areas.
• Strong SQL skills and experience analyzing large datasets.
• Experience troubleshooting data pipelines, ETL processes, data models, or analytics platforms.
• Strong analytical and problem-solving skills with the ability to diagnose complex production issues.
• Ability to understand business processes and translate technical findings into actionable insights.
• Experience working with logs, monitoring tools, and debugging distributed systems.
• Excellent communication and stakeholder management skills.
• Passion for becoming a subject matter expert and driving customer success.
• Willingness to learn new technologies and business domains.
• Leverage AI-assisted engineering tools such as Claude, ChatGPT, Cursor, and similar technologies to accelerate troubleshooting, root cause analysis, documentation, and productivity.

Preferred Qualifications

• Experience with enterprise planning, supply chain, finance, procurement, or operational business processes.
• Familiarity with Python, Java, or scripting languages.
• Experience with cloud platforms, data warehouses, and analytics tools.
• Knowledge of decision intelligence, AI/ML, or optimization concepts is a plus.