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Job Description
Structured overview of role & requirementsAbout This Role
Execute personalization strategies and develop analytical solutions to improve customer engagement and conversion for SME customers across acquisition channels.
Collaborate closely with cross-functional teams to embed AI-native personalization into digital experiences, focusing on scalable, real-time, context-aware systems.
Build and deliver data-driven, production-ready machine learning models and analytical workflows supporting digital acquisition initiatives.
Minimum Requirements
Master’s degree in Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.
At least 1 year of experience in data science, advanced analytics, machine learning, or related quantitative roles.
Strong programming skills in Python and SQL with hands-on experience developing machine learning models and analytical solutions.
Shift timing: 1:30 PM - 9:30 PM.
Ideal Candidate Profile
Experience with AI/ML, NLP, or Generative AI/LLM-based solutions and building scalable analytical workflows.
Prior exposure to marketing analytics, commercial analytics, personalization, or digital data within acquisition contexts.
Ability to communicate insights effectively and collaborate across interdisciplinary teams to influence digital product development.