by Angela Guess
Macy’s is looking for a Marketing Lead of Predictive Analytics in San Francisco, CA. The post states, “As a lead for predictive analytics, you will work with a world-class multidisciplinary team to extract / transform Big Data and deploy scalable predictive reasoning and data mining algorithms. Provide technical expertise and business consultative skills to address supervised and unsupervised learning problems in an applied retail analytics environment. Recommend and deploy modern machine learning and statistical methods (product recommendations, CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, SVM etc.) for finding patterns/models from retail web and omnichannel data.”
Qualifications include: “Graduate degree in Computer Science, Applied Statistics or related field with at least three years’ experience preferred. Experience working with large volumes of data, preferably in retail or e-commerce industry; experience with POS and clickstream data is a plus. Expertise in data extraction & transformation, relational databases & SQL. Strong attention to detail to identify data relationships, trends, and anomalies. Ability to apply theoretical or experiential knowledge on machine learning to solve large scale retail problems. Substantial experience working in a Unix/Linux server environment and competency in shell scripting. Experience in Big Data sets, cloud based architectures, and deployment frameworks for machine learning algorithms (e.g. Hadoop, Hive, Hbase, Mahout, etc.).”
photo credit: Macy’s
