The Marketing Data Scientist at Google will apply advanced analytical techniques to solve critical product and business challenges within the marketing domain. A master's degree in a quantitative field like Statistics, Engineering, or Sciences is required, along with at least three years of professional experience in analytics, coding (Python, R, SQL), database querying, and statistical modeling, or a PhD. The ideal candidate has a proven track record in delivering meta-analyses, constructing fully automated analytics pipelines, and performing audience segmentation and propensity modeling. Expertise in experimental design, supervised and unsupervised machine learning for regression and classification, and root cause analysis is highly valued. You must be adept at using R or Python for statistical work and SQL for data extraction. This role, based in Haryana, focuses on generating strategic insights that inform marketing decisions and drive measurable business impact.
Junior Back End Engineer AI WFH
Qubrid AI · Remote