Description

You will drive advanced analytics and machine learning initiatives for forecasting, classification, and clustering.

This role is hybrid.

Responsibilities

• Design and optimize machine learning models for predictive tasks.
• Apply data mining techniques to identify trends in structured and unstructured datasets.
• Develop scripts for data cleansing, validation, and enrichment to ensure pipeline scalability.
• Conduct deep-dive analytical studies to support reporting via Power BI.
• Communicate complex findings to technical and non-technical stakeholders.

Required Skills

• 7+ years of hands-on experience in data science and machine learning engineering.
• Strong expertise in Python for end-to-end data science and ML workflows.
• Advanced SQL and working knowledge of relational databases, including Oracle.
• Proficiency with PySpark and Power BI (including DAX and visualization best practices).
• Solid background in machine learning algorithms, predictive modeling, and model lifecycle management.
• Experience with ML Ops activities, including model deployment and monitoring.
• Familiarity with AI/ML, NLP, and Generative AI techniques.
• Experience with Azure Databricks.

Preferred Skills

• Bachelor's or Master's degree in a quantitative field.
• 3+ years of tenure in previous roles.

Key Skills

Education

Bachelor's or Master's degrees