Data Scientist II

3 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

About Data Science Role

This position is focused on enhancing human interactions in large enterprises by efficiently pairing customers or tasks with company representatives.

The primary goal is to improve contact center interactions for sales, service, retention, collections, and customer satisfaction in various fields.

Performance is measured using a real-time control group – routing a portion of calls using the client’s existing system and the majority of calls using data-scientist-designed pairing and next-best-action recommendation strategies.

Key Responsibilities
  • Statistical Inference: Perform statistical inference on large data sets to inform decisions and drive actions.
  • Results Analysis: Drill down on results (problem-solving analysis) and conduct custom analysis.
  • Predictive Modeling: Build predictive models to optimize agent and customer interactions.
  • Team Collaboration: Collaborate and communicate with data analytics, and cross-functional teams on a task basis.
  • Real-World Applications: Adapt theoretical concepts and standardized techniques to real-world problems.
Minimum Qualifications
  • Education: Bachelor's or Master's in Computer Science, Mathematics, Economics, Physics, Engineering, or related quantitative field.
  • Work Experience: 2-3 years of working experience in a relevant field.
  • Programming Skills: Programming experience in one or more of the following languages: R, Python, Julia, SQL.
  • Statistics and Machine Learning: Experience with statistics, machine learning, linear programming, or mathematical optimization, both practical and theoretical.
Preferred Qualifications
  • Critical Thinking: Excellent skills at distilling complex, ambiguous scenarios into tractable models.
  • Programming Proficiency: Proficiency in R and Python.
  • Data Analysis: Experience with data analysis, data visualization, processing large data sets.
  • SQL and Databases: Familiarity with SQL, relational databases, version control, and tools for reproducibility such as Git, Jupyter, and R Markdown.
  • Project Management: Demonstrated ability to manage time independently and take projects to completion.
  • Continuous Learning: Willingness to learn new techniques.
  • Communication: Ability to document and explain cutting-edge techniques to other team members.
  • Collaboration: Comfort working in a collaborative environment with cross-team communication to bring projects into production.

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