Data Scientist II: Procurement Analytics & Forecasting

Rosendin Electric, Inc.; Anaheim, Northern (CA, KY); Hybrid; USD 98,000 - 129,000; Full time

Benefits offered by this job

ESOP (Employee Stock Ownership)

401K

PTO 17 days

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Flexible Spending Plan

Charitable Giving Match

Job summary

Rosendin Electric, Inc. seeks a Data Scientist II in Anaheim to transform procurement and job-cost data into actionable insights. You will apply advanced analytics, forecasting, and ML to optimize spend, risk, and supplier performance across nationwide projects.

The role emphasizes collaboration with procurement leaders, estimators, and field operations, with on-site work and a strong emphasis on data-driven decision making.

Qualifications

• Bachelor’s or master’s degree in data science, analytics, statistics, or related quantitative field; procurement exposure preferred.
• 3–5+ years in data science / analytics, preferably in construction, manufacturing, or heavy industrial supply chains.

Responsibilities

• Build and maintain spend intelligence models across electrical commodities and equipment.
• Develop forecasting models for procurement spend monthly, quarterly, and yearly.
• Perform spend classification, taxonomies, and anomaly detection across ERP data.
• Design dashboards for Procurement leadership using Power BI/Tableau.
• Assess supplier performance, risk, and financial health to guide sourcing decisions.
• Collaborate with IT to integrate ML into enterprise procurement tools.

Skills

Python

R

SQL

Power BI

Tableau

Time-series forecasting

Excel

Strong communication

Problem solving

Education

Bachelor's or Master’s in Data Science / Analytics

Tools

Oracle

SAP

Job description

Rosendin Electric, Inc. seeks a Data Scientist II in Anaheim to transform procurement and job-cost data into actionable insights. You will apply advanced analytics, forecasting, and ML to optimize spend, risk, and supplier performance across nationwide projects.

The role emphasizes collaboration with procurement leaders, estimators, and field operations, with on-site work and a strong emphasis on data-driven decision making.