Data Scientist I

A client with Kforce is seeking a Data Scientist I to join their team in San Diego, CA., 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

• 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 stakeholders

Preferred:

• 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)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.