Senior AI Scientist II

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Requirements:

• 4-6 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science.
• Solid experience with Deep Learning Techniques like attention and retrieval models.
• 1-2 years of industrial experience in personalization, recommendation, or search, preferably in a product-driven company.
• Strong problem-solving and coding skills.
• Solid knowledge of AB testing, classic ML, and DL.
• Solid understanding of recommendations, ranking, and retrieval.
• Proficiency in Python, SQL, Spark, and Hive.
• Experience with database technologies like Hadoop, BigQuery, Amazon EMR, and others.
• Experience with business intelligence and visualization tools such as Tableau, MicroStrategy, and geospatial data processing skills is a plus.

Responsibilities:

• Be part of a 0-1 AI transformation for Careem app from a personalization perspective.
• Build a long-term vision leveraging data for customer acquisition and engagement.
• Conduct exploratory analysis to understand user behavior and identify growth opportunities.
• Shape data/ML models to optimize product experiences and generate insights.
• Provide product leadership with data-based recommendations influencing decisions.
• Implement scalable machine learning algorithms for big data production usage.
• Embark on exploratory data analysis projects for growth and optimization.
• Answer complex analytic questions to enhance products and services.
• Define and track key project metrics.
• Design and run randomized controlled experiments, analyze results, and communicate findings.
• Challenge status quo and investigate new data processing technologies.
• Build and deploy retrieval augmented generation systems and large language model applications.