Description

You will develop, deploy, and maintain machine learning models to drive data-based decisions. This role is on-site.

Responsibilities

• Build and train ML models using statistical methods, regression, classification, and clustering.
• Design and manage ETL processes for data wrangling and feature engineering.
• Deploy models to cloud platforms, focusing on data pipelines and production integration.
• Analyze data and present findings using visualization tools to technical and non-technical audiences.

Required Skills

• 5+ years of professional experience in data science or ML engineering.
• Expert proficiency in Python, Pandas, NumPy, and Scikit-learn.
• Strong command of SQL for data querying and manipulation.
• Experience with cloud platforms, specifically AWS or Azure for deployment.
• Proficiency in Data Visualization tools including Power BI and Tableau.
• Solid background in statistical modeling, time series forecasting, and data integrity.
• Experience with big data technologies like Spark or Hadoop.

Preferred Skills

• Experience with Natural Language Processing (NLP).
• Familiarity with geospatial data and mapping tools.

Key Skills

Education

Any Graduate