Data Scientist
Job in
Greenville, Greenville County, South Carolina, 29610, USA
Listed on 2026-08-22
Listing for:
Business Integra INC
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Analyst, Data Scientist, Data Engineering
Job Description & How to Apply Below
The Data Scientist role at Business Integra INC focuses on building data driven and AI powered solutions to support operations, forecasting, and strategic decision making. This position requires strong experience in Python, SQL, machine learning, predictive analytics, and AI technologies to transform complex data into actionable insights.
LocationGreenville, SC (onsite)
CompensationUSD 50 per hour
Responsibilities- Analyze, clean, and integrate data from multiple enterprise systems.
- Develop machine learning models for forecasting, prediction, and scenario planning.
- Build and optimize ETL and data pipelines using Python and SQL.
- Perform statistical analysis, model validation, and data quality assessments.
- Create dashboards, reports, and KPI metrics for business stakeholders.
- Utilize AI/LLMs and prompt engineering to automate workflows and enhance decision-making.
- Collaborate with cross functional teams to deliver scalable analytics solutions.
- Support continuous improvement of AI/ML models and data driven processes.
- Python (Pandas, Num Py, Sci Py, Scikit-learn)
- SQL and data analysis
- Machine Learning & Predictive Analytics
- Statistical modeling and hypothesis testing
- Forecasting & Scenario Planning
- Data cleaning, integration, and ETL pipelines
- Large Language Models (LLMs) & Prompt Engineering
- Dashboarding and data visualization
- Strong analytical, communication, and problem solving skills
- Python, Pandas, Num Py, Sci Py, Scikit-learn
- SQL
- Large Language Models (LLMs) & Prompt Engineering
- Tensor Flow
- Py Torch
- XGBoost
- Azure
- AWS
- GCP
- Databricks
- SAP
- Salesforce
- Power BI
- MLflow
- RAG
- Agentic AI frameworks
- SQL and data analysis: 2 years (Required)
- Machine Learning & Predictive Analytics: 2 years (Required)
- Large Language Models (LLMs) & Prompt Engineering: 2 years (Required)
- Data cleaning, integration, and ETL pipelines: 2 years (Required)
- Dashboarding and data visualization: 2 years (Required)
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