Project Planning Data Jobs

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Data Scientist (D&A Developer II)

Pinnacle Staffing Atlanta, GA

Atlanta, GA

Today

$55 - $55/hr Contract Python Artificial Intelligence Data Analytics

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Job Description

Contract Data Scientist role supporting GE Vernova’s HDPE Operations & Strategy with Python/SQL analytics and machine learning for harmonized insights and scenario planning.

Responsibilities

Contribute to an engineering vision that advances how data intelligence and AI-powered tools are used to manage, predict, and operate across GE Vernova’s global business.
Bridge Engineering domain data knowledge, business planning, operations, and IT execution teams to define needed data, how it should be structured, and which AI/ML solutions create the most value.
Support centralized business operations and program reporting by delivering harmonized insights and predicted outcome ranges to business stakeholders worldwide.
Build scenario planning models to test critical business assumptions.
Track project execution using Primavera P6 and enterprise systems.
Identify gaps between planned and actual performance to support proactive decision-making.
Review existing dashboards, machine learning models, and reports to understand design and implementation.

Requirements

Strong data analysis, statistical modeling, and ML development experience using pandas, NumPy, scikit-learn, SciPy, curve fitting, and object-oriented programming.
Ability to build multi-scenario models for assumption testing and comparison of alternative planning outcomes.
Foundational to intermediate experience with ML frameworks and methods such as scikit-learn, XGBoost, or similar tools.
Understanding of model validation metrics including R², MAE, RMSE, cross-validation, and custom scoring functions.
Proficiency with SQL query, join, data manipulation, and interpretation of complex SQL queries.
Understanding of statistical modeling, hypothesis testing, and experimental design.
Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities.
Experience working with messy datasets, handling inconsistencies, and standardizing formats across heterogeneous systems.
Experience merging datasets from enterprise sources including SAP, Salesforce, Databricks, and ERP/CRM platforms.
Ability to identify outliers, errors, and unusual patterns across structured and unstructured data.
Understanding of data modeling concepts across heterogeneous systems.
Experience developing models for scenario planning, forecasting, and predictive use cases.
Familiarity with LLMs and basic prompt engineering techniques for practical business applications.
Ability to review existing dashboards, ML models, and reports to understand design.

Technologies

Python, pandas, NumPy, scikit-learn, SciPy, XGBoost
SQL
R², MAE, RMSE, cross-validation
LLMs
Primavera P6
SAP, Salesforce, Databricks

Location

Hybrid remote in Atlanta, GA 30308

Pay

$55/hour on W2
$55.00 per hour

Expected Hours

40.0 hours/week

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