Business Data Scientist

1 day ago


Islamabad, Islamabad, Pakistan Afiniti Full time
Enhancing Human Connections

Afiniti uses data science to enhance human interactions in large enterprises by efficiently pairing customers or tasks with company representatives. Our primary focus is improving contact center interactions for sales, service, retention, collections, and customer satisfaction in fields ranging from telecommunications to healthcare to banking to hospitality.

Transforming Contact Centers

We transform 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.

Global Impact and Reach

Our transformative technology has generated billions of dollars in incremental value for our esteemed clients, which include Fortune 500 companies across diverse industries such as financial services, telecommunications, travel, and hospitality. We take pride in our global impact and reach, with our solutions being leveraged by organizations around the world.

About The JobData Scientist II - Pakistan

Afiniti uses data science to enhance human interactions in large enterprises by efficiently pairing customers or tasks with company representatives. Our primary focus is improving contact center interactions for sales, service, retention, collections, and customer satisfaction in fields ranging from telecommunications to healthcare to banking to hospitality.

Key Responsibilities
  1. Perform statistical analysis on large data sets to inform business decisions and drive actions.
  2. Conduct custom analysis and drill down on results (problem-solving analysis) to identify areas of improvement.
  3. Develop predictive models to optimize agent and customer interactions.
  4. Collaborate and communicate with cross-functional teams on a task basis to ensure successful project execution.
  5. Apply theoretical concepts and standardized techniques to real-world problems.
  6. Work during EST hours as per client requirements to ensure seamless communication and collaboration.
  7. Opportunity to lead production activities on deployed accounts, or execute on deployment plan.
Requirements
  1. Bachelor's or Master's degree in Computer Science, Mathematics, Economics, Physics, Engineering, or related quantitative field.
  2. 2-3 years of working experience in relevant field.
  3. Proficiency in one or more programming languages: R, Python, Julia, SQL.
  4. Experience with statistics, machine learning, linear programming, or mathematical optimization, both practical and theoretical.
  5. Strong attention to detail.
Preferred Qualifications
  1. Excellent skills at distilling complex, ambiguous scenarios into tractable models.
  2. Mandatory experience with R and Python.
  3. Experience with data analysis, data visualization, programming, processing large data sets.
  4. Familiarity with SQL, relational databases, version control, and tools for reproducibility such as git, Jupyter, and R Markdown.
  5. Demonstrated ability to manage time independently and take projects to completion.
  6. Willingness to learn new techniques.
  7. Ability to document and explain cutting-edge techniques to other team members.
  8. Comfort working in a collaborative environment with cross-team communication to bring projects into production.
  9. Familiarity with Bayesian statistics, hierarchical modeling, MCMC algorithms, latent factor models.
Location/Remote Work StatementThis role requires hybrid work arrangement and adherence to EST Hours.
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