Data Interaction Specialist

7 days ago


Islamabad, Islamabad, Pakistan beBee Careers Full time
Job Description:

The role involves working with data science to enhance human interactions in large enterprises by efficiently pairing customers or tasks with company representatives. The primary focus is improving contact center interactions for sales, service, retention, collections, and customer satisfaction in various fields such as telecommunications, healthcare, banking, and hospitality.

To achieve this, statistical inference on large data sets is performed to inform decisions and drive actions. Results are analyzed through problem-solving analysis, and custom analysis is conducted to drill down on results. Predictive models are built to optimize agent and customer interactions.

Collaboration and communication with data analytics and cross-functional teams occur on a task basis. Adaptation of theoretical concepts and standardized techniques to real-world problems is also required.

Working hours may include extended hours in EST time zone as per client requirements. There is an opportunity to lead production activities on deployed accounts or execute on deployment plans.

Responsibilities:
  • Perform statistical inference on large data sets
  • Analyze results through problem-solving analysis
  • Build predictive models to optimize agent and customer interactions
  • Collaborate with data analytics and cross-functional teams
  • Adapt theoretical concepts to real-world problems
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Economics, Physics, Engineering, or related quantitative field
  • 2-3 years of working experience in relevant field
  • Programming experience in R, Python, Julia, or SQL
  • Experience with statistics, machine learning, linear programming, or mathematical optimization
  • Strong attention to details
Preferred Qualifications:
  • Excellent skills in distilling complex scenarios into tractable models
  • Proficiency in R and Python
  • Experience with data analysis, data visualization, programming, and processing large data sets
  • Familiarity with SQL, relational databases, version control, and tools for reproducibility
  • Demonstrated ability to manage time independently and take projects to completion

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