LodgIQ
http://lodgiq.comHeadquartered 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.
Jobs at LodgIQ
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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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Oh, this is our favorite part. We’ve seen companies that write 'templatized' BS for this section; stuff that’s never followed in reality.
Not us. Here are some of our core values to give you a sense of who we are as a team:
- First and foremost, we’re super transparent. We all know what everyone’s working on, how’s the company doing, and the whole shebang.
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Not convinced yet? Okay, here’s the fun stuff:
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