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Data engineer Jobs in Ann Arbor, MI
- Promoted
Lead Data Scientist / Machine Learning Engineer (Singapore based)
Agoda Company Pte. LtdSingapore, Michigan, Singapore- Promoted
Data Scientist
Prism+Singapore, Michigan, SingaporeVulnerability Data Analytics Engineer
CVS HealthWork from home, MI, US- Promoted
Data Center Network Engineer (Assistant Manager / Deputy Manager)
PSA Corporation LimitedSingapore, Michigan, Singapore- Promoted
Data Scientist
Titansoft Pte LtdSingapore, Michigan, Singapore- Promoted
Data Scientist
Ably Resources Ltd.Singapore, Michigan, Singapore- Promoted
Data scientist
PULSESYNC PTE LTDSingapore, Michigan, Singapore- Promoted
Data Scientist
Total eBiz Solutions Pte LtdSingapore, Michigan, Singapore- Promoted
Data Scientist
Paritas RecruitmentSingapore, Michigan, Singapore- Promoted
Principal Data Engineer
This is an IT support groupSingapore, Michigan, SingaporeData Engineer Senior
Miracle Software SystemsMichigan, USAData Security DevOps Engineer
University of MichiganAnn Arbor, Michigan, USData Center Engineer (On-site)
Trace3Michigan- Promoted
Data Engineer
VirtualVocationsAnn Arbor, Michigan, United StatesData Center Engineer
TEKsystemsAnn Arbor,MI,48103,USA- Promoted
Sr. Data Engineer-Microsoft Fabric
KLAAnn Arbor, MI, United StatesData Engineer
Gunderson DettmerAnn Arbor, MI- Promoted
Senior Data Engineer
Clarivate Analytics US LLCAnn Arbor, MI, United StatesLead Data Scientist / Machine Learning Engineer (Singapore based)
Agoda Company Pte. LtdSingapore, Michigan, SingaporeLead Data Scientist / Machine Learning Engineer (Singapore based)
Apply Now Singapore
About Agoda
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
Get to Know Our Team
The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities.
The Opportunity
We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
As part of the Data Science and Machine Learning (AI / ML) team, you will be exposed to real-world challenges such as : dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
In This Role, You’ll Get to
- Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
- Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
- Work with developers and a variety of business owners to deliver daily results with the best quality.
- Research, discover and harness new ideas that can make a difference.
What You’ll Need to Succeed
It’s Great if You Have
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
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