Supply Chain Data Scientist: Analytics & Data Pipelines

Talentify; Houston (TX); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Full benefits

401(k) matching

Tuition reimbursement

Casual dress environment

Job summary

BridgeNet Solutions is seeking a Data Scientist to transform large-scale, multi-source supply chain data into clean, decision-ready information assets. You will own end-to-end data ingestion, quality assessment, remediation, and pipeline development, partnering with engineers and analysts to surface actionable insights across freight, inventory, and supplier performance.

The role requires 3–5 years in data analysis within supply chain, strong Python or R skills, SQL proficiency, and experience

Qualifications

• Bachelor’s degree in a related field.
• 3–5 years in data analysis or reporting within supply chain.
• Strong Python or R for data manipulation and modeling.

Responsibilities

• Ingest, profile, and validate large supply chain datasets from multiple sources.
• Identify data quality issues and perform root-cause analyses.
• Design data remediation strategies and collaborate with stakeholders.
• Develop and apply statistical and ML models on supply chain data.
• Deliver outputs in structured, consumable formats for dashboards and reports.
• Support QBR/MBR reporting and translate findings for non-technical audiences.

Skills

Python

SQL

Data pipelines

Data governance

Communication

Education

Bachelor's degree (Data Analytics, Business, Supply Chain, Statistics)

Tools

ERP systems

SAP / Oracle

Cloud data warehouses

Job description

BridgeNet Solutions is seeking a Data Scientist to transform large-scale, multi-source supply chain data into clean, decision-ready information assets. You will own end-to-end data ingestion, quality assessment, remediation, and pipeline development, partnering with engineers and analysts to surface actionable insights across freight, inventory, and supplier performance.

The role requires 3–5 years in data analysis within supply chain, strong Python or R skills, SQL proficiency, and experience