Data Scientist - ML & Scenario Planning (Hybrid Remote)

Pinnacle Staffing; Atlanta (GA); Hybrid; USD 63,000 - 89,000; Part time

Job summary

Pinnacle Staffing seeks a Contract Data Scientist to advance GE Vernova's HDPE Operations & Strategy with Python/SQL analytics and ML for harmonized insights and scenario planning.

You will build multi-scenario models, validate results, and deliver predictive insights to global stakeholders. Experience with SQL, Python, and enterprise data sources is essential. Hybrid work in Atlanta is offered.

Qualifications

• Strong data analysis, statistical modeling, and ML development experience using Python libraries.
• Ability to build multi-scenario models for testing assumptions.
• Experience with ML frameworks such as scikit-learn, XGBoost, or similar.
• Understanding model validation metrics (R², MAE, RMSE) and CV.
• Proficient SQL querying and data manipulation.
• Experience merging data from SAP, Salesforce, Databricks.

Responsibilities

• Contribute to an engineering vision for data intelligence and AI-powered tools.
• Bridge data knowledge across engineering, planning, operations, and IT.
• Deliver harmonized insights and scenario outcomes to stakeholders worldwide.
• Build scenario planning models to test critical business assumptions.
• Track projects with Primavera P6 and enterprise systems.
• Identify gaps between planned and actual performance.
• Review dashboards and ML models to understand design and implementation.

Skills

Data analysis

Statistical modeling

ML development

Pandas

NumPy

scikit-learn

SciPy

OOP

Hypothesis testing

Experiment design

Tools

Python

SQL

Primavera P6

Databricks

SAP

Salesforce

Job description

Pinnacle Staffing seeks a Contract Data Scientist to advance GE Vernova's HDPE Operations & Strategy with Python/SQL analytics and ML for harmonized insights and scenario planning.

You will build multi-scenario models, validate results, and deliver predictive insights to global stakeholders. Experience with SQL, Python, and enterprise data sources is essential. Hybrid work in Atlanta is offered.