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# Senior Data Scientist | Python, SQL, Machine...

- **Company:** Manpower
- **Location:** Greenville, SC, United States
- **Experience:** Expert
- **Salary:** $109,429.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Decision Support Systems, Python (Programming Language), Machine Learning, NumPy, Salesforce.Com, SAP (Applications), SciPy, SQL Databases, Enterprise Software Applications, Sql Optimization, Pandas, Scikit Learn, Data Analytics, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.juju.com/job/00000000gllefd

## About the Role

Our client, a global leader in energy technology and industrial engineering solutions, is seeking a Senior Data Scientist to join their team. As a Senior Data Scientist, you will be part of the Data & Analytics organization supporting Engineering, Operations, Program Management, and Business Strategy teams. The ideal candidate will have strong analytical thinking, excellent stakeholder communication skills, and a collaborative, solution-oriented mindset that will align successfully within the organization., + Strong experience using Python for data analysis, statistical modeling, and machine learning (Pandas, NumPy, Scikit-Learn, SciPy).

 + Advanced SQL skills with experience querying, transforming, and analyzing large enterprise datasets.

 + Experience developing predictive models, forecasting solutions, and data-driven business insights.

 + Background working with enterprise systems such as SAP, Salesforce, Databricks, ERP, CRM, or similar platforms.

 + Ability to communicate technical findings effectively to both technical and non-technical stakeholders while collaborating across cross-functional teams., + Hands-on experience with emerging technologies, including predictive analytics, forecasting models, and AI-driven decision support tools.

## Description

+ Develop machine learning, forecasting, and predictive analytics solutions that support business and operational decision-making.

 + Build scenario-planning and "what-if" models to evaluate resource capacity, project execution, costs, and business forecasts.

 + Analyze and integrate data from multiple enterprise platforms, including ERP, CRM, business intelligence, financial, and project management systems.

 + Collaborate with business leaders, engineers, and data teams to translate complex business challenges into data-driven solutions.

 + Create executive reporting, dashboards, and AI-powered analytical tools that provide actionable insights and improve operational performance.

What's Needed?


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