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Data Scientist

Do you enjoy telling stories through data and working with large datasets?

Our Sales Planning team is looking for a Data Scientist to explore customer journey touchpoints, develop dashboards and reports that drive meaningful change in our Call Center. You’ll use your business acumen to turn data-driven insights and analysis into actionable strategies that enhance performance and customer experience.

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

What this application asks

workable

First name, Last name, Email, Headline, Phone, Address, Education, Experience, Summary, Resume, Cover letter

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