big data scientist

Agoda

<div>
 
 About 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&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;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&rsquo;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.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 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&rsquo;ll Get to
 
 
 
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 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
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 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.
 </li>
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 Work with developers and a variety of business owners to deliver daily results with the best quality.
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 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
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 Can lead, work independently as well as play a key role in a team.
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 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
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 Facebook https://www.facebook.com/agodacareers/
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 LinkedIn https://www.linkedin.com/company/agoda
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 YouTube https://www.youtube.com/agodalife
 
 
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 </ul>
 
 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&rsquo;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.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead Data Science (Bangkok based, Relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

dywidag

<div>Purpose of the Job

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. 
Key Responsibilities:
<ul>
<li>Collect, clean, and preprocess structured and unstructured data from diverse sources.</li>
<li>Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.</li>
<li>Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.</li>
<li>Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.</li>
<li>Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.</li>
<li>Visualize data insights using dashboards and reports, primarily with Power BI.</li>
<li>Clearly communicate findings and recommendations to stakeholders through presentations and documentation.</li>
<li>Continuously improve data quality, analytical processes, and model performance.</li>
<li>Stay current with the latest trends and technologies in data science, machine learning, and AI.</li></ul> 


Required Qualifications:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li>
<li>2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.</li>
<li>Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.</li>
<li>Proficiency in programming languages such as Python, R, or SQL.</li>
<li>Experience with data visualization tools, especially Power BI.</li>
<li>Familiarity with Microsoft Azure cloud platforms is preferred.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication and collaboration abilities.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).</li>
<li>Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).</li>
<li>Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.</li></ul></div>

Data Scientist

DYWIDAG-Systems International GmbH

<div>Purpose of the Job
We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2&ndash;3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. 
 
Key Responsibilities:
<ul><li>Collect, clean, and preprocess structured and unstructured data from diverse sources.
</li><li>Develop, implement, and optimize statistical models, machine learning algorithms, and data mining techniques.
</li><li>Rapidly prototype and deliver MVPs to address business needs, especially in pricing and sales forecasting.
</li><li>Collaborate with the Global BI Team and cross-functional stakeholders to understand requirements and translate them into actionable analytical solutions.
</li><li>Support various departments (e.g., Sales, Finance, Operations) with tailored predictive models and insights.
</li><li>Visualize data insights using dashboards and reports, primarily with Power BI.
</li><li>Clearly communicate findings and recommendations to stakeholders through presentations and documentation.
</li><li>Continuously improve data quality, analytical processes, and model performance.
</li>Stay current with the latest trends and technologies in data science, machine learning, and AI. 
<li>
</li></ul>Required Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
</li><li>2&ndash;3 years of proven experience as a data scientist in a business setting, supporting multiple departments/functions.
</li><li>Demonstrated expertise in developing predictive models for pricing engines and sales forecasting.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data visualization tools, especially Power BI.
</li><li>Familiarity with Microsoft Azure cloud platforms is preferred.
</li><li>Strong problem-solving skills and attention to detail.
</li>Excellent communication and collaboration abilities. 
<li>
</li></ul>Preferred Qualifications:
<ul><li>Experience with big data technologies (e.g., Azure Data Factory, Synapse, Spark, Hadoop).
</li><li>Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
</li><li>Industry experience in Construction is preferred; experience in Manufacturing or Engineering-related Big Data is also relevant.</li></ul></div>

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