Job Title: Data Scientist
Location: Miami FL
Long Term Contract
Only W2. No C2C
Role & Responsibilities:
Data Analysis & Insights:Analyze large datasets from customer service interactions (call logs chat transcripts surveys billing data etc.) to identify trends and pain points.
Predictive & Prescriptive Modeling:Build machine learning models to predict customer next best action service outages and high-risk accounts.
Develop recommendation systems to personalize customer interactions and improve issue resolution. Process Optimization:
Use AI and automation to improve customer service workflows (e.g. chatbots routing optimization).
Collaborate with IT and operations teams to integrate data-driven solutions into customer service Segmentation & Personalization:
Apply clustering techniques to segment customers based on behavior preferences and service needs.
Design targeted retention and engagement strategies using data Language Processing (NLP):
Analyze customer feedback (emails surveys call transcripts) using sentiment analysis and topic modeling to improve service quality.
Enhance chatbot and virtual assistant capabilities using NLP Collaboration:
Present findings to leadership and business teams in a clear actionable manner.
Work with customer service managers to implement data-backed improvements.
Experience:
8 years in data science preferably in customer service utilities or a related industry.
Proficiency in Python/R SQL and data visualization tools (Tableau Power BI).
Experience with machine learning (scikit-learn TensorFlow PyTorch) and NLP.
Familiarity with cloud platforms (preferable AWS) and big data tools (Spark Hadoop) is a plus.
Best Regards:
Ramdeep B
Phone: 1-
Email: