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Tier-1 brand, metro location, and mid-level generalist ML role drive high applicant competition.
Core ML and data science skills transfer across industries, though marketing/commercial domain knowledge adds moderate specificity.
Mandatory quantitative degree plus required ML and Big Data tech stack increases shortlisting rigor.
Drive sentinel analytics across channels and Amex commercial products focusing on gaming prevention and profitable customer acquisitions.
Design and implement advanced analytical and machine learning solutions including data mining and integration of AI/GenAI techniques for marketing analytics.
Collaborate cross-functionally with channel owners, business partners, and technology teams to deliver actionable insights and measurable business impact.
Bachelor's in engineering or Master’s/PhD in quantitative fields such as Statistics, Engineering, Physics, Mathematics, or Economics.
Hands-on experience with data science tools and techniques including Big Data, PySpark, Hive, Scala, and Python.
Experience applying statistical and machine learning techniques to solve business problems and developing data science solutions.
Work Experience Required: Not explicitly mentioned in the JD. Location: Gurgaon, India.
Proven ability to manage multiple concurrent analytics projects with effective cross-team collaboration and project management skills.
Strong quantitative and analytical skills with demonstrated experience in advanced data mining and machine learning applications in marketing or commercial analytics.
Comfortable working in a dynamic environment, adapting quickly to evolving analytics technologies including AI and GenAI.