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Tier-1 brand, mid-level generalist ML role, metro location, and broad skill requirements increase competition.
Core ML/AI skills are transferable, though digital marketing/paid-search domain experience increases specificity.
Mandatory master's degree, explicit 1-3 years, and specific ML/GenAI and tooling requirements make filters strict.
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Drive customer acquisition and business growth through data-driven Paid Search strategies by developing analytical solutions and measurement frameworks to improve targeting accuracy and campaign efficiency.
Leverage advanced analytics, experimentation, and AI/GenAI techniques, including automated insights generation and search intelligence, to optimize bidding strategies and acquisition performance.
Partner with marketing, product, technology, and platform teams to implement analytical solutions and carry out strategic initiatives that maximize business impact.
Master’s Degree in a quantitative field such as Engineering, Mathematics, Finance, Computer Science, Statistics, or Economics.
1-3 years of professional work experience in Data Science and Analytics domain.
Proficiency in SQL and Python with experience building ML models like XGBoost and K-Means; experience working with LLMs.
Knowledge of digital analytics or experimentation frameworks is a plus but not mandatory.
Experienced in leveraging AI and GenAI technologies to enhance digital marketing analytics, audience targeting, and bidding strategy optimization.
Able to analyze complex auction dynamics and identify opportunities for improving paid search campaign performance.
Skilled in cross-functional collaboration with marketing, product, and technology teams to translate data insights into actionable business outcomes.