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# Data Scientist

- **Company:** Business Integra
- **Location:** Greenville, SC, United States
- **Experience:** Experienced
- **Salary:** $104,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Cleansing, Extract Transform Load (ETL), Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Salesforce.Com, SAP (Applications), SciPy, SQL Databases, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Pandas, Scikit Learn, Data Analytics, Xgboost, Machine Learning Operations, Virtual Agents, Data Pipelines, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9764f57025d23009

## About the Role

* Python (Pandas, NumPy, SciPy, 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

Preferred Skills

 * TensorFlow, PyTorch, or XGBoost
 * Azure, AWS, or GCP
 * Databricks, SAP, Salesforce, or Power BI
 * MLOps (MLflow), RAG, or 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)

## Description

We are seeking a Data & Analytics Developer II to develop data-driven and AI-powered solutions that support business operations, forecasting, and strategic decision-making. The ideal candidate will have strong experience in Python, SQL, machine learning, predictive analytics, and AI technologies to transform complex datasets into actionable business insights.

Responsibilities

 * Analyze, clean, and integrate data from multiple enterprise systems.
 * Develop machine learning models for forecasting, prediction, and scenario planning.
 * Build and optimize ETL/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.


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