Data Scientist I

DescriptionA client with Kforce is seeking a Data Scientist I to join their team in San Diego, CA.Summary: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 transferRequirements* Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related quantitative field, or equivalent practical experience with production data pipelines and BI tooling; No advanced degree required - this role is scoped to data engineering/analytics ownership, not research* Strong SQL and hands-on experience with a cloud data lake/lakehouse environment (Databricks or equivalent)* Experience owning or maintaining production BI dashboards (Qlik strongly preferred; Other BI tools considered)* Experience with ETL/data pipeline tools and debugging pipeline failures (dependency/race-condition issues, schema drift, data-quality checks)* Comfortable working independently in a live production environment with imperfect documentation, including triaging and escalating issues under time pressure* Clear written and verbal communication - this role interfaces with both the outgoing data science team and business-side planning stakeholdersPreferred:* Experience with a pipeline orchestration tool comparable to Superglue* Prior experience on a data/reporting ownership handoff or migration* Familiarity with contact-center or workforce-management data (contact/handle-rate metrics, forecast-vs-actuals reporting, staffing or capacity planning concepts)Job TypeContractCompensation53 - $63