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Popular ML/data skills and moderate employer brand yield medium applicant competition.
Core ML and analytics skills transfer across industries, though digital-marketing/product experience is preferred.
Explicit 6+ years, advanced degree preference, and mandatory ML/tool experience make shortlisting strict.
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Design, prototype, and build AI engines and analytical models for business solutions in digital marketing and product management.
Mine, transform, and analyze data from multiple sources including CRM and digital analytics to derive actionable insights and measure performance.
Coordinate with cross-functional teams to implement models, conduct A/B testing, and monitor model performance and data accuracy.
6+ years of experience in statistical and/or data science or data analyst roles.
MS or PhD in Computer Science, Electronics, Computer Applications, Economics, Statistics, Mathematics, or related technical discipline.
Experience with machine learning, statistics, data mining, and model development for clustering, classification, and regression problems.
Proficiency in R or Python is required; experience with BI tools like Tableau or Power BI is a plus.
Experienced in applying data science techniques within digital marketing and product management domains to drive business impact.
Able to operate effectively in agile, multi-stakeholder environments with strong collaboration and communication skills.
Capable of mentoring and collaborating with business partners and team members while handling complex data integration and model implementation tasks.