Data Scientist (Personalization)

A leading technology company is seeking a skilled Data Scientist to support the development of personalization and recommendation systems within its Artificial Intelligence (AI) team. This role focuses on leveraging data, machine learning models, and advanced analytics to drive user experience and business performance. It offers an opportunity to work on impactful, large-scale data solutions in a fast-paced, innovation-driven environment.

Key Responsibilities

• Develop and optimize machine learning models focused on personalization and recommendation systems
• Conduct exploratory data analysis, feature engineering, and model validation
• Identify and propose new machine learning opportunities to improve products and services
• Collaborate with cross-functional teams including engineering and product teams
• Monitor model performance, data drift, and business impact of deployed solutions
• Ensure high data quality standards for all analytics and machine learning processes
• Translate complex technical findings into clear, business-friendly insights
• Maintain proper documentation of models, processes, and technical solutions

Requirements

• Master’s degree or higher in a quantitative field such as Data Science, Computer Science, Mathematics, or Statistics
• Minimum of 3 years’ experience in data science, machine learning, or a related field
• Strong proficiency in Python and SQL for production-level applications
• Solid understanding of statistical analysis, predictive modeling, and machine learning techniques
• Experience with personalization systems or recommendation engines is highly preferred
• Familiarity with software engineering best practices including scalability, testing, and optimization
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP)
• Strong analytical thinking and problem-solving abilities
• Excellent communication skills with the ability to present technical concepts clearly
• Ability to work independently and manage projects effectively

Nice to Have

• Experience in delivery, mobility, or financial services industries
• Experience building machine learning features for digital products such as mobile apps or websites