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Locarise
OVERVIEW
Address
Tokyo, Japan
Website
http://locarise.com/
Industry
IoT, Retail & Analytics
# of Employees
11 to 50 employees
COMPANY DETAILS
Who are we?

Locarise is the first award winning IoT platform for Physical Retailers offering a wide range of services such as Shopper Behavior Analytics, Staff Optimization and In-Store Personalization Toolbox. Locarise solution find its place in every hands from frontline employees with their store performance metrics in Locarise mobile app to the back-office with Locarise web dashboard and its role-specialized tools.


What do we do?

Locarise builds the future of retail by making sense of all the data generated in the stores of top tier brands and provide them with analytics dashboard, custom reports and automated tools to help them take better, data-driven, decisions. Locarise collect all sort of data such as Wi-Fi / Bluetooth signals, POS, iBeacon events from mobile or online data and use advanced Machine Learning algorithms to extract insights from them to be displayed in rich web and mobile data visualizations.


JOB LISTINGS
  • Other・Tokyo, Japan
    Full Time
    IoT, Retail & Analytics・Tokyo, Japan・Full Time

    Skills
    Big Data, Data Analysis, Data Mining
    Languages
    Englishconversation
    Description
    • Conduct statistical analyses to learn from unstructured, real-world behavioral data
    • Conduct information retrieval and scraping to extract data from unstructured sources
    • Design and implement machine learning algorithms for retail and real-estate analytics
    • Engineer production-ready applications to analyze data
    • Convey and explain models and data insight with clarity
    Requirements
    • Deep understanding of a quantitative science: computer science, electrical engineering, physics, applied math, statistics, etc. (graduate degree a plus)
    • Experience with languages used for querying data (e.g. SQL)
    • Experience with Data Science tools is a plus (e.g. Data iku, Data Robot)
    • Experience with scripting languages for preprocessing and statistical analysis (e.g. Python + Pandas)
    • Strong understanding of and sensitivity towards data integrity and cleanliness
    Benefits