Description

You will drive advanced analytics and machine learning initiatives.

Responsibilities

• Design, develop, and optimize machine learning models for forecasting, classification, and clustering.
• Apply data mining techniques to identify trends and patterns within structured and unstructured datasets.
• Develop scripts for data cleansing, validation, and enrichment while ensuring pipeline scalability.
• Conduct deep-dive analytical studies to define performance improvements and support reporting via Power BI.
• Communicate complex analytical findings clearly 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 Databases.
• 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.

Key Skills

Education

Bachelor's or Master's degrees