lead ds (data scientist) bangkok based, relocation provided Jobs in Alexandria

lead ds (data scientist) bangkok based, relocation provided

lead/ staff data scientist (bangkok based, relocation provided) Jobs in Alexandria

lead/ staff data scientist (bangkok based, relocation provided)

senior data scientist (bangkok based, relocation provided) Jobs in Alexandria

senior data scientist (bangkok based, relocation provided)

data scientist

Agoda

<div>
 
 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 , 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
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 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>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 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>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 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.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 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>

Senior Data Scientist (Bangkok based, relocation provided)

<div>
 
 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&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
 
 
 
 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
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 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>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 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>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 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.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 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 DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Lucidya | لوسيديا

<div>
 At Lucidya, we harness the power of
 
 Machine Learning
 
 and
 
 Big Data
 
 to empower businesses with actionable insights through social listening, customer experience, and data analytics platforms. Our engineering culture promotes innovation, autonomy, and impact. We build products that shape how brands understand and serve their customers.
 
 
 We are seeking a
 
 Staff Engineer
 
 with deep backend expertise in
 
 Ruby on Rails
 
 or
 
 Python
 
 to take ownership of
 
 final design reviews
 
 and ensure technical implementations align with Lucidya's
 
 architecture standards
 
 and
 
 product vision
 
 . You'll act as a technical authority, collaborating across teams to deliver scalable, secure, and high-quality software systems.
 
 
 This is a hands-on leadership role suited for someone passionate about driving architectural integrity and mentoring engineering teams.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Hands-on experience designing and delivering customer experience (CX) SaaS products such as social listening engines, real-time engagement systems, customer data platforms, feedback tools, or marketing insights dashboards
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.
 </li>
 <li>
 7+ years of backend software engineering experience, ideally in a SaaS environment.
 </li>
 <li>
 Proficiency in Ruby on Rails or Python for production-grade applications.
 </li>
 <li>
 Proven experience in technical leadership, architecture reviews, and mentoring.
 </li>
 <li>
 Solid understanding of distributed systems, microservices, and event-driven architectures.
 </li>
 <li>
 Expertise in cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).
 </li>
 <li>
 Familiarity with relational (e.g., PostgreSQL) and non-relational (e.g., Redis, Elasticsearch) data stores.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Skilled in using GenAI tools (e.g., Copilot, ChatGPT) to boost coding efficiency, automate tasks, and improve code quality
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience with DevOps, CI/CD pipelines, and observability tooling.
 </li>
 <li>
 Contributions to open-source projects or public technical writing
 </li>
 </ul>
</div>

Staff Engineer

Lucidya

<div>At Lucidya, we harness the power of Machine Learning and Big Data to empower businesses with actionable insights through social listening, customer experience, and data analytics platforms. Our engineering culture promotes innovation, autonomy, and impact. We build products that shape how brands understand and serve their customers.
We are seeking a Staff Engineer with deep backend expertise in Ruby on Rails or Python to take ownership of final design reviews and ensure technical implementations align with Lucidya&rsquo;s architecture standards and product vision. You&rsquo;ll act as a technical authority, collaborating across teams to deliver scalable, secure, and high-quality software systems.
This is a hands-on leadership role suited for someone passionate about driving architectural integrity and mentoring engineering teams.
Requirements<ul>
<li>Hands-on experience designing and delivering customer experience (CX) SaaS products such as social listening engines, real-time engagement systems, customer data platforms, feedback tools, or marketing insights dashboards.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or equivalent experience.
</li><li>7+ years of backend software engineering experience, ideally in a SaaS environment.
</li><li>Proficiency in Ruby on Rails or Python for production-grade applications.
</li><li>Proven experience in technical leadership, architecture reviews, and mentoring.
</li><li>Solid understanding of distributed systems, microservices, and event-driven architectures.
</li><li>Expertise in cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).
</li><li>Familiarity with relational (e.g., PostgreSQL) and non-relational (e.g., Redis, Elasticsearch) data stores.
</li><li>Strong communication and collaboration skills.
</li><li>Skilled in using GenAI tools (e.g., Copilot, ChatGPT) to boost coding efficiency, automate tasks, and improve code quality.</li>
</ul>Bonus<ul>
<li>Experience with DevOps, CI/CD pipelines, and observability tooling.
</li><li>Contributions to open-source projects or public technical writing.</li></ul></div>

Sutherland

<div>
 
 Payroll Operations Management:
 
 <ul>
 <li>
 processing end-to-end payroll for a HC of ~7,000 employees, ensuring timely and accurate payment of salaries, bonuses, and other compensations.
 </li>
 <li>
 Ensure payroll transactions are processed efficiently and in compliance with local labor laws, tax regulations, and company policies.
 </li>
 <li>
 Ensure all salary components (basic pay, VPP, deductions, overtime, bonuses) are accurately reflected.
 </li>
 <li>
 Review monthly payroll reports, attendance, terminations, new hires, and adjustments.
 </li>
 <li>
 Coordinate with HR, Finance, and GHRS teams to validate and reconcile payroll data inputs (attendance, overtime, benefits, etc.).
 </li>
 <li>
 Work closely with Finance for payroll journal entries, reconciliation, and cost reporting.
 </li>
 <li>
 Responsible for new hires onboarding process providing orientation and opening their bank accounts.
 </li>
 <li>
 Managing the payroll help desk, assigning tickets to the payroll team, and meeting the agreed upon SLA.
 </li>
 </ul>
 
 Compliance &amp; Audit:
 
 <ul>
 <li>
 Ensure strict adherence to legal regulations regarding wages, income tax, social insurance, and other statutory requirements.
 </li>
 <li>
 Support internal and external audits by providing necessary payroll reports, documentation, and reconciliation statements.
 </li>
 <li>
 Keep updated with changes in payroll-related legislation and recommend necessary adjustments to internal processes. Prepare and submit monthly and annual statutory reports related to payroll (e.g. tax filings, insurance declarations).
 </li>
 <li>
 Maintain detailed records to support compliance and audit readiness.
 </li>
 </ul>
 
 Process Improvement &amp; Systems:
 
 <ul>
 <li>
 Manage payroll systems and tools to ensure data accuracy and efficiency.
 </li>
 <li>
 Identify opportunities for payroll process improvement and automation to enhance efficiency and reduce errors.
 </li>
 <li>
 Lead or support the implementation of new payroll software or system upgrades.
 </li>
 </ul>
 
 Reporting &amp; Analytics:
 
 <ul>
 <li>
 Generate payroll-related reports for finance, HR, and senior management.
 </li>
 <li>
 Analyze payroll trends, discrepancies, and costs to support budgeting and forecasting.
 </li>
 <li>
 Provide monthly reconciliation of payroll with financial ledgers and HR data.
 </li>
 </ul>
 <li>
 </li>
 
 
 the main qualification required for this position is as follow:
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in accounting, Finance, or related field.
 
 </li>
 <li>
 
 10+ years of experience in payroll processing and management, preferably in a large organization (7,000+ employees)
 
 </li>
 <li>
 
 Expert proficiency in Excel and SAP; experience with other payroll software systems is a plus
 
 </li>
 <li>
 
 
 B2 level English proficiency or higher
 
 
 </li>
 <li>
 
 In-depth knowledge of local labor laws, tax regulations, and statutory requirements related to payroll
 
 </li>
 <li>
 
 Strong analytical skills with the ability to interpret complex payroll data and generate insightful reports
 
 </li>
 </ul>
 
 
</div>

Payroll Associate manager

Rubikal

<div>As a Ruby on Rails software engineer, you will be responsible for architecting and building the services that drive our coaching platform. You are a strong software engineer who is passionate about large-scale systems. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as individuals. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 commercial services.
Our stack includes Ruby on Rails, PostgreSQL, ElasticSearch and RabbitMQ. Our production deployments are on AWS. A qualified candidate will have full support in learning all of the technologies in our stack.
Requirements<ul>
<li>Bachelor&rsquo;s degree in Computer Technology, Information Systems, or related field.</li>
<li>3+ hands-on experience with the same role and stack.
</li><li>Build APIs to support mobile apps, web UIs, and data ingestion applications</li>
<li>Deep expertise with Ruby on Rails</li>
<li>Strong SQL skills</li>
<li>Analyze and improve the efficiency, scalability, and reliability of our backend systems.</li>
<li>Write robust code; demonstrate its robustness through automated tests.</li>
<li>Work with Product, Frontend, Data Engineering, and QA teams, helping the team respond quickly and effectively to business needs.</li>
<li>Opportunity is remote and open to candidates based in Egypt and of Egyptian nationality only.</li>
</ul>Benefits<ul>
<li>Competitive salary</li>
<li>Great work environment</li>
<li>Flexible working schedule</li>
<li>Medical Insurance</li>
<li>Brand new MacBook</li></ul></div>

Ruby on Rails Engineer

Explore 37+ Data scientist in Alexandria this October. Find roles across top companies and apply now to boost your career.

37 data scientist jobs IN Alexandria

Senior Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Staff Engineer

Staff Engineer

Payroll Associate manager

Ruby on Rails Engineer