Radius Intelligence, Inc. San Francisco, CA
Data Scientists – Perform data investigation and statistical analysis to interpret, summarize and identify significant differences in relationships among sources of information and trends in data using Python and Spark. Build and test new features to boost the predictive power of the Machine Learning models used by Radius in their marketing analytics using Python and Spark. Contribute to the development of Radius production code by using Git. Specifically engage with the rest of the company through code reviews. Develop new predictive statistical models and improve the existing ones for the purpose of understanding and predicting marketing success. This work will be based on several machine learning techniques including random forests, boosting, logit regressions, clustering, time series and recommendation engines. Maintain and develop engineering tools that are used to carry out statistical modeling and predictions in a production environment using Python, Scala and Spark. Engage in scientific discourse with the rest of the Data Science community at Radius, with the goal of developing a new generation of machine learning models to better company products and improve the quality of marketing analytics.
Requires Master’s (or educ. equiv.) Degree in Statistics, Mathematics or Physics and One (1) yr. experience in the Job Offered which must have included 1yr. using advanced modeling and machine learning techniques including random forests, boosting, logit regressions, clustering, time series and recommendation engines; 1yr. developing real life predictive statistical models; 1yr. using Python, Spark and Scala; 1yr. using Git distributed revision control system.
Radius is an Equal Opportunity Employer.
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