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Lead Quantitative Analyst Role

1 week ago


Peshawar City Tehsil, Pakistan Afiniti Full time

About Afiniti, the AI technology company that transforms customer experiences.

We are dedicated to making moments of human connection more valuable. Our patented AI technology revolutionizes the contact center industry by pairing customers with the most compatible contact center agents. By doing so, we enhance the entire customer journey, resulting in exceptional experiences and improved outcomes for all parties involved.

Our Approach:

  • We use data science to understand patterns of human behavior.
  • We predict how people will interact and create meaningful connections.
  • We use our patented AI technology to pair customers with the most compatible contact center agents.

Key Responsibilities:

  • Use data science to understand patterns of human behavior.
  • Predict how people will interact and create meaningful connections.
  • Use our patented AI technology to pair customers with the most compatible contact center agents.

Minimum Qualifications:

  • Bachelors or Masters in Computer Science, Mathematics, Economics, Physics, Engineering or related quantitative field.
  • 4-5 years of working experience in relevant field.
  • Programming experience in one or more of the following languages: R, Python, Julia, SQL.
  • Experience with statistics, machine learning, linear programming, or mathematical optimization, both practical and theoretical.
  • Strong attention to detail.

Preferred Qualifications:

  • Excellent skills at distilling complex, ambiguous scenarios into tractable models.
  • Proficiency in R and Python.
  • Experience with data analysis, data visualization, programming, processing large data sets.
  • Familiarity with SQL, relational databases, version control, and tools for reproducibility such as git, Jupyter, and R Markdown.
  • Demonstrated ability to manage time independently and take projects to completion.
  • Willingness to learn new techniques.
  • Ability to document and explain cutting-edge techniques to other team members.
  • Comfort working in a collaborative environment with cross-team communication to bring projects into production.
  • Familiarity with Bayesian statistics, hierarchical modeling, MCMC algorithms, latent factor models.