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Tier-1 brand, generalist junior data role, and broad skill requirements increase applicant competition.
Core ML and data skills are transferable, though financial domain experience is beneficial.
Requires production ML, coding and business alignment but lacks explicit years, so medium strictness.
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Support data science initiatives by applying analytical and technical skills to solve challenges in product and platform contexts.
Collaborate with sales order management, technology teams, and business stakeholders to develop scalable data science solutions and deploy models and data pipelines into production.
Develop machine learning models and data-driven solutions that enhance system performance, user engagement, or operational efficiency.
Work Experience Required: Not explicitly mentioned in the JD.
Proficiency in Python, R, and/or SQL for data processing, analysis, and model development.
Experience with machine learning algorithms including classification, regression, clustering, or forecasting.
Ability to translate business and product requirements into scalable data science solutions.
Familiar with large-scale datasets and applying statistical and computational techniques to support data-driven decision-making.
Experienced in deploying production-ready code and collaborating with cross-functional technology teams.
Understanding of artificial intelligence ethics to ensure fairness, transparency, and accountability in AI features and data usage.