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Quantitative Data Analyst Senior

1 week ago

Peshawar City Tehsil, Pakistan Afiniti Full time

About Afiniti, the leader in AI-driven customer interaction optimization.

We transform the contact center industry by using data science to pair customers and tasks with company representatives. Our focus is on improving interactions in large enterprises across various sectors such as telecommunications, healthcare, banking, and hospitality. To ensure we deliver value, we measure performance using a real-time control group – routing a portion of calls using the client's existing system and the majority of calls using our data-scientist-designed pairing and next-best-action recommendation strategies.

Our Technology:

  • We use AI to predict customer behavior.
  • We design and deploy predictive models to optimize customer interactions.
  • We use data science to understand patterns of human behavior.

Key Responsibilities:

  • Use AI to predict customer behavior.
  • Design and deploy predictive models to optimize customer interactions.
  • Use data science to understand patterns of human behavior.

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.