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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
  • Software Engineer・Tokyo, Japan
    Full Time
    Engineering・Tokyo, Japan・Full Time
    Languages
    Englishfluent
    Japanesenone
    Description

    You will build the interfaces that interact for our retail customers and internal data analyst. Our main stack is a single-page apps with AngularJS, D3, CoffeeScript and any other tools we need to get the job done. We ship code every day. Customers will run your changes right away — you’ll get quick feedback and your work won’t sit for months waiting for a release.

    As Locarise is still a young startup, it offers plenty of place to grow outside of the boundaries of your initial role toward your next career goal.

    Requirements
    • Experience with an MVC framework like AngularJS or EmberJS. Production experience with AngularJS and / or React Native is a plus.
    • Experience with single app building automation (Grunt / Gulp / Webpack)
    • Proficiency in Javascript / CoffeeScript
    • Excellent visual and verbal communication skills
    Benefits

    4M¥ - 7M¥ · 0.0 - 0.7% + transportation and all social benefits Friendly multi-cultural startup environment in Monthly social events / Annual company trip

  • Other・Tokyo, Japan
    Internship
    Sales・Tokyo, Japan・Internship
    Languages
    Englishbusiness
    Japanesefluent
    Description

    Responsabilities:

    • Find new business development opportunities selling Locarise product lines by leveraging your network and ours to open the doors
    • Cultivate mutually beneficial relationships with strategic partners
    • Conduct sales representations and provides consulting services on key accounts
    • Demonstrate solutions oriented consultive sales approach to grow their book of business
    • Initiate long-standing relationships with prospective customers
    • Involves Locarise executives/founders for consultive client advice
    • Wear many hats!
    Requirements
    • Current or recently/not-so-recently graduated student in any field
    • Open to learning business development skills, networking and sales techniques
    • Passionate about promotion, marketing and social media
    • Special interest in retail and technology and what the both combined can bring
    • Japanese business skills
    • A self-starter, and love working in a multicultural environment
    • Prior experience in the analytic solutions especially for retailers would be preferable
    • Verbal and written communication skills both in Japanese and English would be preferable
    Benefits

    Transportation Expenses Young and dynamic cross-cultural environment Monthly Social Event

  • Other・Tokyo, Japan
    Full Time
    Engineering・Tokyo, Japan・Full Time
    Languages
    Englishfluent
    Description

    You will build the platforms that power our customer facing services and develop new and better iterations of our products. You'll be joining a team with a cross-disciplinary mix of data, web, hardware and mobile development skills.

    As Locarise is still a young startup, it offers plenty of place to grow outside of the boundaries of your initial role toward your next career goal.

    Responsibilities

    • Building new features and integrations for our retail analytics solution that will be viewed and used across Locarise retail and real-estate customers
    • Maintain, scale, and optimize existing mission-critical data pipelines and applications that make up Locarise’s core products
    • Provide guidance on Locarise data processing infrastructure and create tools, scripts, and libraries to fit pre-production applications to production
    • Learn and create bleeding edge technologies and join the discussion to shape our future
    Requirements
    • Passionate about clean, professional software development
    • Understanding of underlying protocols of the internet
    • Interest in the next generation of programming languages on the JVM (Clojure, etc.) and distributed processing frameworks (Spark, etc.)
    • Excellent command of one or more of the following languages (i.e. Javascript, Python, Go)
    • Database: SQL, preferably Postgres and NoSQL (Cassandra)
    • Excellent oral and written communication skills
    • Strong functional analytic skills (e.g. how to analyze large datasets)
    • Knowledge of AWS is a strong plus
    Benefits

    5M¥ - 7M¥ · 0 - 1.0% + transportation and all social benefits Friendly multi-cultural startup environment in Naka Meguro Monthly social events / Annual company trip

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