Data Scientist

RESPONSIBILITIES

• Write SQL queries and Python code to retrieve, process, and analyze large datasets.
• Construct efficient multi-threaded data models from large data sets.
• Develop dashboards and create visual reports for both daily operations and executive-level insights.
• Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
• Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
• Make data backed recommendations on Contact Center programs.
• Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
• Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.

Requirements

• A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
• At least 2 years of experience in an analytical role
• Advanced experience with SQL, Python, building data models, data validation, and QA
• Strong data mining skills with an understanding of cross-platform integrations
• Excellent Excel and PowerPoint skills
• Strong attention to detail, analytical skills, and the ability to manage multiple tasks
• Comfortable working in a fast-paced, dynamic environment with shifting priorities
• Strong written and verbal communication skills, with a solid analytical mindset
• Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus