You will be expected to work on many levels – from mining massive datasets for identifying opportunities, through designing and implementing your solutions into our offline and live production systems, defining appropriate metrics to measure their effectiveness, conducting rigorous A/B experiments and impartially evaluating their results. Your coding skills will be challenged writing scalable, distributed and highly efficient components. Candidates should give evidence of their ability to write …
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) Expertise in Exploratory Data Analysis, Inference Analysis, and Predictive Analysis (Regression, Classification, etc.), with a solid preference for experience in Recommendation Engines. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Publications in major HCI/ML/IR/NLP conferences would be a plus. Example: CHI, NeurIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP. Awareness and understanding of emerging research and technologies related to Recommendation Systems. Experience in large scale data mining and cloud computingAnalytical, problem solving, programming and debugging skills. Effective verbal, visual and written communication skills.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page