Description

You build scalable analytics solutions, optimize machine learning models, and deliver actionable insights using Python, PySpark, and Azure Databricks.

This role is hybrid.

Responsibilities

• Design and optimize ML models for forecasting, classification, and clustering.
• Build scalable analytics and reporting solutions using Power BI and DAX.
• Perform feature engineering, validation, and model tuning.
• Prepare and cleanse structured and unstructured datasets.
• Collaborate with Data Engineering and Analytics teams to troubleshoot dashboards.

Required Skills

• 7+ years of experience in data analysis or machine learning.
• Strong expertise in SQL and Python Pandas.
• Hands-on experience with PySpark and Azure Databricks.
• Proficiency in Power BI and DAX queries.
• Knowledge of Big Data Analytics and Cloud Computing.
• Experience with Machine Learning Operations (MLOps).

Preferred Skills

• Experience with NLP and Generative AI / LLMs.
• Background in the Utilities domain.
• Familiarity with Google Cloud Platform.

Key Skills

Education

Bachelor's degree