AI-Ready Data Scientist & Dataset Readiness Lead

Experis (Austria); Sunnyvale (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Experis in Sunnyvale, CA is seeking a data-focused leader to own dataset discovery, profiling, quality assessment, and remediation prioritization for AI-enabled supply chain initiatives.

You will conduct structured stakeholder interviews, document data lineage, apply a seven-dimension quality framework, and deliver a prioritized remediation backlog with expected business impact, within an approximately 8-week execution window.

Qualifications

• Experience conducting enterprise-scale dataset inventories and data quality assessments.
• Strong understanding of supply chain, manufacturing, or NPI processes.
• Ability to evaluate datasets supporting forecasting, capacity planning, yield management, inventory management, and manufacturing operations.
• Advanced SQL expertise for data profiling and analysis.
• Strong Python skills, including Pandas and data profiling techniques.

Responsibilities

• Dataset Inventory & Discovery: Build and maintain the authoritative inventory of datasets and document source systems, owners, refresh cadence, lineage and consumers.
• Stakeholder Assessment & Data Discovery: Interview data owners and operations teams; capture business context and reconcile processes with usage.
• Data Quality Assessment: Apply a seven-dimension data quality framework; develop scoring and remediation recommendations with evidence.
• Executive Reporting & Knowledge Transfer: Prepare executive findings and handoff materials for the data engineering team.

Skills

Data Science

Data Quality

Data Governance

Data Management & Analytics

SQL

Python

Tools

Hive

Presto

Databricks

Scuba

Unidash

Teamcenter

Factory MES

Job description

Experis in Sunnyvale, CA is seeking a data-focused leader to own dataset discovery, profiling, quality assessment, and remediation prioritization for AI-enabled supply chain initiatives.

You will conduct structured stakeholder interviews, document data lineage, apply a seven-dimension quality framework, and deliver a prioritized remediation backlog with expected business impact, within an approximately 8-week execution window.