Afiniti

Position: Data Scientist II

Location:

Karachi, Lahore, Islamabad, Pakistan

Job Id: 2338 # of Openings: 1

About Afiniti

Afiniti is the leading provider of artificial intelligence that improves customer experience - making moments of human connection more valuable. Our vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide. For the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey.

As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth. We aim to do this by offering our core routing AI to a larger number of medium-sized enterprises at a lower price and via a subscription-based model and by addressing more use cases via a Generative AI-based, voice- and chat-enabled, AI Agent with unique IP that delivers prompt-first application development (as opposed to legacy flow builders), and AI-driven instrumentation to maximize performance.

Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.

About the role

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. To ensure we’re delivering 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.

Key Responsibilities

• Perform statistical inference on large data sets to inform decisions and drive actions.
• Drill down on results (problem-solving analysis) and conduct custom analysis.
• Build predictive models to optimize agent and customer interactions
• Collaborate and communicate with data analytics, and cross-functional teams on a task basis.
• Adapt theoretical concepts and standardized techniques to real-world problems
• Working at a stretch in EST hours as per client requirements (starting work post midday till midnight).
• Opportunity to lead production activities on deployed accounts, or execute on deployment plan.

Minimum Qualifications

• Bachelors or Masters in Computer Science, Mathematics, Economics, Physics, Engineering or related quantitative field.
• 2-3 years of working experience in relevant field.
• Programming experience in one or more of the following languages i.e. R/Python/ Julia/SQL.
• Experience with statistics, machine learning, linear programming, or mathematical optimization, both practical and theoretical
• Strong attention to details.

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, make, or authoring custom packages
• 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

Location/Remote work statement

This is a hybrid opportunity required to work in EST Hours.

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