Senior PhD Data Scientist | Location Intelligence Application

SiteZeus

Data Scientist for Big Data/Machine Learning Application
SiteZeus is a fast-growing startup disrupting the way growing companies select new locations withPredictive Analytics based on big data and machine learning. We are seeking the best & brightest engineers to join our Product Development team to enhance our award-winning product suite. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Position Responsibilities
 Implement statistical methods to use for Predictive Analytics Create Models which analyze multiple data sources and make appropriate forecasts (i.e. estimated sales)
 Enhance data collection procedures to build analytic systems
 Perform ad-hoc analysis and present results in a clear manner Help import data from third party data sources Regularly participate in Agile ceremonies including daily scrum, refinement, sprint planning and retrospectives Make suggestions for process improvements consistent with our theme of continual process improvement Provide necessary customer support when asked by providing requested data analysis and resolving issues within the SZ platform
Skills & Requirements
 Must have a strong desire to provide the best possible user experience to delight customers
 Experience with common data science toolkits (i.e. R, Weka, NumPy, MatLab)
 Excellence in R and R Server is highly desirable
 Must understand different statistical methodologies and good applied statistics skills, such as distributions, statistical testing, regression, etc. Must have experience using machine learning and an excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
 Helpful to have performed a significant role in creating accurate Predictive Analytics on prior projects using big data
 Advanced degree in Data Science helpful
 Proficiency in using query languages such as SQL
 Good applied statistics skills, such as distributions, statistical testing, regression, and so on
 Great communication skills
 Data-oriented personality
 Must be passionate about continually learning new technologies Must be able to work collaboratively as part of an Agile Scrum Product Team and contribute to discussions on technical design, peer code reviews, and so on Must have a desire to participate in continually improving product development efforts Experience with geospatial data is a big plus
Technology Stack
 Our web application is a Single Page App currently built with Google Maps, Geospatial data,ASP.NET MVC with C#, HTML5, CSS3, Typescript, Knockout, D3, SQL Server, R, R Server
 We use Azure DevOps to host Git for version control and work items Our application is hosted on Microsoft Azure
Subscribe Now