Description

Apply advanced machine learning algorithms to solve classification problems in automotive and logistics domains.

This role is on-site.

Responsibilities

• Implement classification algorithms using Random Forest, LightGBM, and XGBoost.
• Develop propensity models using Python.
• Write complex SQL queries utilizing window functions like Rank and Lead.
• Explain model outputs and statistical inferences to stakeholders.
• Apply Bayesian Statistics or Sales Incentive modeling to business problems.

Required Skills

• 7-9 years of experience in Data Science.
• Hands-on expertise with Random Forest, LightGBM, and XGBoost.
• Proficiency in Python programming.
• Advanced SQL skills, specifically using window functions.
• Experience with classification problem solving.
• Domain knowledge in Automotive Industry and After Sales & Service Management Logistics.

Preferred Skills

• Experience with Databricks and AWS services including Athena, SageMaker, and S3.
• Familiarity with Jupyter Notebooks in SageMaker Studio.

Any Graduate degree.

Key Skills

Education

Any Graduate