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Strong Tier-1 brand and desirable data science skillset but senior niche specialization reduces applicant density.
Marketing analytics and causal inference expertise transfers across consumer and e-commerce firms but is domain-specific.
Explicit 6-10 years and required marketing ML, causal inference, and MMM expertise.
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Own and lead complex, cross-organizational data science projects that influence global marketing investment decisions.
Develop and implement advanced statistical and machine learning models addressing test design, measurement, customer segmentation, MTA, and MMM to drive business strategy.
Collaborate with senior leadership and stakeholders to translate data insights into strategic business recommendations and innovation initiatives.
6-10 years of relevant work experience in data science or related fields.
Bachelor's, Master's, or Ph.D. in Mathematics, Economics, Physics, Computer Science, or equivalent.
Strong proficiency in Python and SQL, with experience in statistics, algorithms, and programming to solve business problems.
Experience specifically in test design and measurement, customer segmentation, Multi Touch Attribution (MTA), and Marketing Mix Modeling (MMM).
Experienced leader capable of managing and mentoring a team of data scientists in complex analytical projects within marketing and eCommerce domains.
Able to independently define strategies and work within broad policies to deliver actionable business insights using advanced causal inference and analytics techniques.
Comfortable engaging with senior executives and stakeholders to communicate technical insights and influence business decision-making.