AI Solutions Architect

4 days ago

Karachi, Sindh, Pakistan beBeeData Full time 20,000,000 - 25,000,000
Job Overview

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem's mission is to simplify and improve the lives of people and build an awesome organization that inspires.

The company has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region's best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

Role Description

This role is at the forefront of driving competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and leading the region's AI ecosystem.

  • Develop a long-term vision on how to rethink customer acquisition and engagement strategies, leveraging data in decision-making.
  • Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
  • Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
  • Provide product leadership by sharing data-based recommendations to communicate the state of business, root cause of change in metrics, and experimentation results influencing product and business decisions.
  • Implement scalable machine learning algorithms used in production on big data.
  • Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
  • Answer complex analytic questions from big data sets to help shape Careem's products and services.
  • Help define and track key metrics for specific projects.
  • Design and run randomized controlled experiments, analyze resulting data, and communicate results with other teams.

Requirements

Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation, and cleaning of both structured and unstructured data.

Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.

Strong problem-solving and coding skills.

Solid knowledge of marketplace problems in ride-hailing and delivery services.

Solid knowledge of AB testing, classic ML, and DL.

Solid understanding of recommendations, learning to rank, uplift modeling, and matching problems.

Fluency in English along with excellent oral and written communication skills.

Proficiency and demonstrated experience in Python, SQL, Spark, Hive.

Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).

Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.

Knowledge of Agile methodologies.

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