Description

You will design and maintain data systems, applying statistical tools to interpret complex datasets and produce actionable insights.

Responsibilities

• Design, develop, and optimize machine learning models for forecasting, classification, and clustering.
• Apply data mining techniques to uncover patterns and insights in large datasets.
• Prepare structured and unstructured data for advanced analysis, developing cleansing and validation scripts.
• Conduct deep-dive analyses to identify trends and communicate complex findings to stakeholders.

Required Skills

• 7 or more years of experience in data science and machine learning engineering.
• Proficiency in Python for data science workloads.
• Strong SQL knowledge and experience with relational databases.
• Proficiency in PySpark for data science workloads.
• Experience with machine learning algorithms, predictive modeling, and data mining.
• Minimum 3 years of experience with data visualization tools like Power BI and Dax Queries.
• Experience with Azure Databricks.
• Experience with GenAI and large language models.
• Strong coding background and experience in ML Ops.

Preferred Skills

• Knowledge of statistical methods and experimental design.

Key Skills

Education

Any Graduate