Description

You will design and implement Natural Language Processing solutions to drive efficiency and profitability within operations.

Responsibilities

• Build and automate Spark NLP pipelines to process large volumes of text data using Python and PySpark.
• Extract relevant features from text data to improve NLP model performance and assess accuracy using precision, recall, and F1-score.
• Design, develop, and deliver user-friendly dashboards and recurring reports to meet business requirements.
• Identify insights and metrics to support business performance measurement, QA enhancement, and customer behavior analysis.
• Connect NLP pipelines with data warehouses, databases, and visualization tools.

Required Skills

• 5+ years of Business Intelligence experience in financial services, banking, or retail finance (or 7+ years of Machine Learning experience in these sectors).
• 3+ years of experience in Natural Language Processing (NLP).
• 2+ years of experience with Tableau, Power BI, or other data visualization tools.
• Proficiency in Python and SQL.
• Experience with PySpark ETL pipeline development.
• Bachelor’s degree in any discipline or equivalent experience.
• Experience using Apache Spark and Spark ML to build scalable pipelines.

Preferred Skills

• Background in ETL pipeline development in Anaconda Enterprise.
• Advanced Tableau skills utilizing data visualization best practices and performance optimization.

Key Skills

Education

Bachelor’s degree