Supply Chain Data Scientist — Data Pipelines & Insights

PSA BDP; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

BridgeNet Solutions, a member of the PSA Group, seeks a Data Scientist to transform large mult-source supply chain data into clean, auditable information assets that support its 4PL program.

You will own data ingestion, quality remediation, and pipeline development, working with engineers, analysts, and external stakeholders to deliver actionable insights across freight, inventory, and supplier performance.

Qualifications

• Bachelor's degree in data analytics, business, supply chain, statistics, or related field.
• 3–5 years in business analysis, data analysis, or reporting roles within a supply chain, logistics, or professional services environment.
• Proficiency in Python or R for data manipulation, statistical analysis, and machine learning model development.

Responsibilities

• Ingest, profile, and validate large-scale supply chain datasets from multiple sources including ERP, TMS, EDI, and supplier portals.
• Identify and document data quality issues, performing root-cause analyses to differentiate systemic problems from anomalies.
• Develop and apply statistical and machine learning models to identify patterns, outliers, and predictive signals in supply chain data.
• Deliver model outputs and analytical baselines in structured formats for dashboards and client reporting.
• Document data sources, transformation logic, model assumptions, and limitations to ensure reproducibility.

Skills

Python

SQL

ETL pipelines

Data pipelines

Data quality

Documentation

Communication

Data analysis

Education

Bachelor's degree in Data Analytics / related field

Tools

SAP

Oracle

Snowflake

BigQuery

Redshift

Job description

BridgeNet Solutions, a member of the PSA Group, seeks a Data Scientist to transform large mult-source supply chain data into clean, auditable information assets that support its 4PL program.

You will own data ingestion, quality remediation, and pipeline development, working with engineers, analysts, and external stakeholders to deliver actionable insights across freight, inventory, and supplier performance.