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Tier-1 brand, common Data Scientist title, 3–5 years and Bangalore metro increase applicant competition.
Core ML/DL skills are transferable, but ads/recommendation and logistics domain knowledge raises specificity.
Explicit 3–5 years, Master's degree, ML/DL and production-shipping experience make shortlisting highly strict.
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Develop and deploy ML/DL models to enhance ads recommendation quality and optimize campaign performance.
Mine and analyze large historical datasets to identify solutions for business and customer experience problems.
Collaborate with engineers, PMs, and analysts to design and implement scalable end-to-end ML inference solutions.
3 to 5 years of industry or research lab experience in Applied Mathematics, Machine Learning, or Statistics.
Master's degree in Applied Mathematics, Machine Learning, Statistics, or related field.
Hands-on expertise in applying ML to big data with a history of shipping ML data products.
Experience working with software developers, product managers, and understanding of SDLC.
Experienced in deep learning applied to consumer/internet product domains or startups.
Capable of owning projects from ideation through delivery with measurable impact on key metrics.
Familiar with latest ML research in Ads Bidding algorithms and Recommendation Systems, able to adapt research to business problems.