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Established global brand, visible ML role, and common skillset create moderate candidate competition.
Core ML and data engineering skills are broadly transferable across industries, lowering background sensitivity.
Mandatory 7+ years, ML/AI domain experience, TensorFlow/PyTorch, cloud and big-data skills enforce strict filtering.
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Analyze large datasets using advanced statistical techniques to uncover trends and insights.
Develop, validate, and deploy machine learning models to support business objectives and predictions.
Collaborate with cross-functional teams to deliver tailored analytics solutions and automate data pipelines for efficiency.
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
7+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
Proficiency in Python, SQL, TensorFlow and/or PyTorch; experience with cloud data platforms (Azure, AWS, or GCP) and ETL/ELT pipelines.
Strong understanding of statistical modeling, hypothesis testing, data preprocessing, and experience with large-scale structured and unstructured data.
Experienced in mentoring junior team members and driving knowledge sharing within teams.
Skilled at communicating complex data-driven insights to both technical and non-technical stakeholders.
Has hands-on experience with scalable big data technologies and data visualization tools to support decision-making.