Data Scientist

TL;DR

Data Scientist: Designing, developing, and deploying machine learning models to optimize business operations with an accent on demand forecasting, customer segmentation, and scalable ML pipelines. Focus on building reliable models, leveraging cloud infrastructure, and automating deployment and monitoring.

What you will do

• Develop and implement statistical and machine learning models for demand forecasting and inventory optimization.
• Use time-series analysis and regression models to predict demand trends accurately.
• Design customer segmentation models based on behavior and demographics.
• Analyze and adjust segmentation strategies according to business needs.
• Build and maintain scalable ML pipelines for deployment, monitoring, and retraining.
• Ensure model reliability and scalability using cloud infrastructure and containerization tools.

Requirements

• 3-5 years of experience in data science or machine learning roles with focus on demand forecasting and model deployment.
• Proven experience with time series forecasting, statistical modeling, and machine learning algorithms.
• Strong hands-on experience with Python or R and relevant ML libraries.
• Familiarity with MLOps tools like MLflow or Kubeflow.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Experience in supply chain is a plus.