Data Scientist

Overview

Data Scientist role focused on building and optimizing machine learning models for time series forecasting and predictive analytics.

What you'll do

• Develop and optimize machine learning models for time series forecasting and predictive analytics.
• Perform feature engineering and model optimization to improve accuracy and efficiency.
• Evaluate model performance using metrics like MAPE, RMSE, and R² and adjust strategies.
• Build data pipelines using PySpark, SQL, and cloud-based solutions for data integration.
• Work on large-scale ETL/integration using tools such as Boomi, SnapLogic, SSIS, or Palantir.
• Deploy, monitor, and continuously improve ML models in production.

What you'll need

• Proficiency in Python, PySpark, and SQL.
• Experience with time series forecasting models (ARIMA, Prophet, LSTMs, and ML-based approaches).
• Strong background in data model optimization, feature engineering, and performance evaluation.
• Hands-on data engineering experience with ETL and data transformation projects.
• Experience with cloud computing, particularly Google Cloud tools (BigQuery, Vertex AI, Cloud Functions).
• Experience with Palantir Foundry.
• Familiarity with AutoAI for automated model selection and hyperparameter tuning.

Details

• Location: 3609 OM Halyard India.