> Markdown version of [/jobs/ext/3122622-data-scientist-i](https://www.wearedevelopers.com/jobs/ext/3122622-data-scientist-i). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist I - **Company:** Kforce Inc. - **Location:** San Diego, CA, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Cloud Database, Information Systems, Information Engineering, Extract Transform Load (ETL), Software Debugging, Operational Databases, Standard Sql, Business Intelligence Development Studio, Information Technology, Qlikview, Data Pipelines, Databricks - **Published:** September 28, 2026 - **Apply:** https://www.dice.com/job-detail/79a9cebf-b2a0-420f-8807-49322db1ac8d ## About the Role * 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) ## Description 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 ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)