LodgIQ
https://lodgiq.comAbout
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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What You’ll Do
Key Responsibilities
Collaborate with vendors to gather requirements for API development and ensure
technical feasibility.
Collect API documentation from vendors; document and explain business logic to
use external data sources effectively.
Access vendor applications to create and validate sample data; ensure the accuracy
and relevance of test datasets.
Translate complex business logic into documentation for developers, ensuring
clarity for successful integration.
Monitor all integration activities and support tickets in Jira, proactively resolving
critical issues.
Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution
viability before broader rollout.
Document onboarding processes and best practices to streamline future
integrations and improve efficiency.
Build, train, and deploy machine learning models for forecasting, pricing, and
optimization, supporting strategic goals.
Drive end-to-end execution of data integration projects, including scoping, planning,
delivery, and stakeholder communication.
Gather and translate business requirements into actionable technical specifications,
liaising with business and technical teams.
Oversee maintenance and enhancement of existing integrations, performing RCA
and resolving integration-related issues.
Document workflows, processes, and best practices for current and future
integration projects.
Continuously monitor system performance and scalability, recommending
improvements to increase efficiency.
Coordinate closely with Operations for onboarding and support, ensuring seamless
handover and issue resolution.
Desired Skills & Qualifications
Strong experience in API integration, data analysis, and documentation.
Familiarity with Jira for ticket management and project workflow.
Hands-on experience with machine learning model development and deployment.
Excellent communication skills for requirement gathering and stakeholder
engagement.
Experience with QA test processes and pilot rollouts.
Proficiency in project management, data workflow documentation, and system
monitoring.
Ability to manage multiple integrations simultaneously and work cross-functionally.
Required Qualifications
Experience: Minimum 4 years in hotel technology or business analytics, preferably
handling data integration or system interoperability projects.
Technical Skills:
Basic proficiency in SQL or database querying.
Familiarity with data integration concepts such as APIs or ETL workflows
(preferred but not mandatory).
Eagerness to learn and adapt to new tools, platforms, and technologies.
Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel
Managers, or RMS.
Project Management: Strong organizational and multitasking abilities.
Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.
Communication: Excellent written and verbal skills to bridge technical and non-
technical discussions.
Attention to Detail: Methodical approach to documentation, testing, and deployment.
Preferred Qualification
Exposure to debugging tools and troubleshooting methodologies.
Familiarity with cloud environments (AWS).
Understanding of data security and privacy considerations in the hospitality industry.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)
Python
MongoDBAbout 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.
React.js
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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