Data Scientist

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.

• 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)