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Staff/Lead Data Scientist

Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. 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. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. 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 * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

Workplace Exp Manager

CBRE

As a CBRE Workplace Experience Manager, you will be responsible for managing employees that oversee the delivery of workplace experience services. Examples of services include Concierge, Reception, Meeting & Event Management, and administrative office duties. This job is part of the Workplace Experience function. They are responsible for providing world-class customer service to the clients and visitors of a designated building. **What You’ll Do:** * Provide formal supervision to employees. Monitor the training and development of staff. Conduct performance evaluations and coaching. Oversee the recruiting and hiring of new employees. * Coordinate and manage the team's daily activities. Establish work schedules, assign tasks, and cross-train staff. Set and track staff and department deadlines. Mentor and coach as needed. * Build and maintain a trusted client relationship. Negotiate with clients, partners, and associates to resolve conflicting priorities. * Ensure support provided by the team is efficient and consistent. Suggest process improvement efforts on a regular basis. Assist with developing strategic solutions. * Assess technological and training needs for Workplace Experience teams and clients. Always follow safety standards with employees, clients, and vendors. * Develop vendor partnerships with the intention of cost saving efforts. Manage negotiations for contract services. Confirm that all vendors have current proof of insurance and contractual documentation. * Oversee programs ran by third party vendors. This includes food delivery, organizing events, providing transportation, or mail distribution. Ensure all invoices for business services billed. * Ensure support provided by the team is efficient and consistent. * Lead by example and model behaviors that are consistent with CBRE RISE values. Influence parties of shared interests to reach an agreement. * Apply knowledge of own discipline and how own discipline integrates with others to achieve team and departmental objectives. * Identify, troubleshoot, and resolve day-to-day and moderately complex issues which may or may not be evident in existing systems and processes. **What You’ll Need:** * Bachelor's Degree preferred with 3-5 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. * Experience in the areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention preferred. * Ability to guide the exchange of sensitive, complicated, and difficult information, convey performance expectations and handle problems. * Leadership skills to motivate team impact on quality, efficiency, and effectiveness of the job discipline and department. * In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. * Extensive organizational skills with a strong inquisitive mindset.