Data Scientist
Python
Analytics
Artificial Intelligence
Business Analytics
Business Intelligence
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Database
Databases
Databricks
ETL
Reporting and Analytics
SQL
Job Description
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.
Location
Greenville, SC (onsite)
Compensation
USD 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.
Requirements
- 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
Technologies
- Python, Pandas, NumPy, SciPy, Scikit-learn
- SQL
- Large Language Models (LLMs) & Prompt Engineering
- TensorFlow
- PyTorch
- XGBoost
- Azure
- AWS
- GCP
- Databricks
- SAP
- Salesforce
- Power BI
- MLflow
- RAG
- Agentic AI frameworks
Experience
- 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)