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Founded :
2015
Type :
Product
Size :
20-100
Stage :
Raised funding
About
LodgIQ is re-imagining revenue management with predictive and prescriptive analytics methods using state of the art BigData Analytics and AI / Machine Learning algorithms to forecast demand and price hotel rooms.

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the travel industry by incorporating machine learning and artificial intelligence to advance precise forecasting and optimized pricing. For more information, visit http://www.lodgiq.com" target="_blank">http://www.lodgiq.com

Backed by Highgate Ventures and Trilantic Capital Partners, LodgIQ is a well-funded young company, seeking a motivated and entrepreneurial Data Engineer to join its Data Science team in Silicon Valley. Qualified A+ candidates will be offered an excellent compensation and benefit package.
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Sougata Chatterjee
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Jobs at LodgIQ

LodgIQ
at LodgIQ
1 video
1 recruiter
Sougata Chatterjee
Posted by Sougata Chatterjee
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote, Bengaluru (Bangalore)
3 - 12 yrs
₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Data Scientist
Python
MongoDB
+1 more

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist


Job Description:

  • Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels
  • Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
  • Help scale up the product in a global offering across 100+  global markets

Qualifications:

  • Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
  • At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
  •   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
  •   Solid grasp over  optimization techniques
  •   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
  •   Ability to show a track record of solving large, complex problems
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LodgIQ
at LodgIQ
1 video
1 recruiter
Sougata Chatterjee
Posted by Sougata Chatterjee
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote, Bengaluru (Bangalore)
2 - 15 yrs
₹5L - ₹20L / yr
React.js
User Interface (UI) Design
AngularJS (1.x)
Angular (2+)
HTML/CSS


We are looking for a UI Developer to join our team! Headquartered in New York, LodgIQ delivers a revolutionary SaaS platform for Algorithmic Pricing and Revenue Management for the hospitality industry by incorporating machine learning and artificial intelligence. For more information, visit http://www.lodgiq.com">http://www.lodgiq.com 

Backed by Highgate Ventures and Trilantic Capital Partners, LodgIQ is a well-funded company, seeking for a motivated and entrepreneurial UI Developer to join its Product/ Engineering team in India. Qualified A+ candidates will be offered an excellent compensation and benefit package.


Requirements:

  • In-depth knowledge of HTML/Javascript/React.JS
  • Strong flair for UI and UX
  • Understanding of Web Application architectures e.g. Django/Flask 
  • Familiarity with Cloud Environments  (AWS, EC2, S3, IAM) 
  • Working knowledge of NoSQL databases such as MongoDB 
  • Proficiency in consuming and developing REST APIs with JSON data 

Specific Job Knowledge, Skills & Abilities:

    • Real world experience with large-scale data on AWS or similar platform
    • Must be a self-starter and an effective data wrangler
    • Intellectual curiosity and strong desire to learn new Big Data and Machine Learning technologies 
    • Deadline driven, and capable of delivering projects on time under a fast paced, high growth environment 
    • Willingness to work with unstructured and messy data
    • Bachelor’s degree or Masters degree in relevant quantitative fields.
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Not convinced yet? Okay, here’s the fun stuff:

  • Flexible leave policy. Yeah, it’s truly flexible. We trust you.
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