Afiniti

Position: Sr. Data Engineer

Location:

Karachi, Lahore, Islamabad, Pakistan

Job Id: 2326 # 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

As a Senior Data Engineer working as a key member of the Data Analytics and Engineering team of the Professional Services Group, you will enjoy rolling up your sleeves to solve complex business questions through data. You will navigate through unique data sets to build and maintain data pipelines, monitor and optimize data processes, and lead feature engineering for our modeling data sets. The PSG DAE team proactively works to identify, prioritize and conduct analysis that drives meaningful insight to achieve our performance objectives.

Key Responsibilities

• Able to drive successful completion of deliverables and analytic deliverables.
• Ensures quality and reliability of data obtained from client sources and offline data sources (ensuring that data contains required information for analytics and modeling).
• Build and maintain complex data pipelines.
• Confirm that the AI team is able to optimize the performance metric desired by the client and that the data provided by the client is sufficient (completeness and usability).
• Drill down on results (problem-solving analysis) and conduct custom analysis.
• Reconcile data and procedures with internal teams.
• Define and improve data joining procedures for new and existing deployments.
• Ensure data integrity on review of historical data.

Minimum Qualifications

• Bachelors or Master’s in computer science, Mathematics, Economics, Physics, Engineering or related quantitative field.
• Minimum 3 to 5 years of experience in data analytics, data modelling, SQL scripting, statistics, ETL and Data Warehousing.
• The ability to manage internal stakeholders in ensuring that data is received and managed in a timely and efficient manner.
• Experience in a data-centric role in more than one industry.
• Ability to work under pressure.

Preferred Qualifications

• Strong knowledge and understanding of statistical concepts.
• Strong problems solving and critical thinking skills.
• The ability to convey mathematical concepts in a meaningful way to business clients and internal team members.
• The ability to work independently and in a team environment.
• The ability to work effectively across functions, levels, and disciplines.
• Knowledge of SQL required.
• Knowledge of R or Python required

Location/Remote work statement

This is a hybrid opportunity.

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