Our Client is seeking a Data Scientist I to join their team .This role owns the demand-side pipeline and dashboard day to day, working alongside the supply-side owner, and helps close reliability gaps in the planning tools the wider team depends on. It’s a hands-on data engineering and analytics role: less new model-building, more owning production data products end to end – schema, pipeline logic, dashboards, and the bugs and edge cases that come with them.

Responsibilities:

• Own the demand-suite Qlik dashboards and their underlying Superglue pipelines: pipeline logic, schema, dashboard connections, and runbook, following handoff from Data Science & Analytics
• Validate pipeline output against pre-migration baselines during transition, and troubleshoot discrepancies as they surface
• Attend and contribute to bug-triage (DEFT) meetings and handle first-line escalations for owned assets once Data Science & Analytics moves to escalation-only support
• Back up the supply-side asset owner on request, and be backed up in turn, so neither pipeline goes uncovered during absences
• Build and maintain a defect inventory for known configuration-validation and error-handling gaps in adjacent planning tools (the ramp optimizer and expert plan tools), in support of the team’s broader tooling-reliability effort
• Track down and help resolve known open issues on these tables, including a disputed field-definition change affecting reported handle rate, an intermittent pipeline race condition, and access-tagging gaps for downstream report users
• Partner with the outgoing Data Science & Analytics team through the transition period on lineage, documentation, and knowledge transfer