Data Scientist

📋 Description

• Design, develop, and deploy scalable AI data solutions.
• Build data pipelines, preprocessing workflows, and feature engineering.
• Collaborate with product managers, developers, and stakeholders.
• Deploy in secure, containerized environments with CI/CD.
• Leverage cloud data platforms such as Databricks, Palantir, AWS.

🎯 Requirements

• 4+ years in applied data science or ML engineering.
• Proficient in Python, SQL, and distributed data frameworks (Spark/Databricks).
• Experience deploying ML models with scikit-learn, TensorFlow, XGBoost, MLflow.
• MLOps experience, API development, and secure cloud environments.
• Strong data validation, model testing, and performance evaluation.
• Data visualization with Tableau, Plotly, or Matplotlib.