[ito] (gsd) workday functional specialist (benefits module, bangkok/indian/malaysia-based, relocation provided)

data analyst

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.
 
 
 
 THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
 
 
 Location: Bangkok, Thailand (*Not open for remote work)
 
 
 
 
 Get to Know our Team:
 
 
 
 The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda&rsquo;s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
 
 
 
 The Opportunity:
 
 
 
 As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 
 
 
 In this Role, you&rsquo;ll get to
 
 :
 
 
 <ul>
 <li>
 Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
 </li>
 <li>
 Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
 </li>
 <li>
 Proactively identify opportunities for growth within supply and the wider business.
 </li>
 <li>
 Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
 </li>
 <li>
 Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
 </li>
 <li>
 Automate manual operational processes and present back on time savings gained through modernization of business operations
 
 
 </li>
 </ul>
 
 What you&rsquo;ll Need to Succeed
 
 :
 
 
 <ul>
 <li>
 At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
 </li>
 <li>
 Advanced working knowledge and hands-on experience in SQL
 </li>
 <li>
 Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
 </li>
 <li>
 Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
 </li>
 <li>
 Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
 </li>
 <li>
 Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
 </li>
 <li>
 Experience in conducting A/B testing experimentation
 </li>
 <li>
 Strong experience in finding data insights and provide business recommendation to the business
 </li>
 <li>
 A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
 </li>
 <li>
 Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
 </li>
 <li>
 Data driven in both decision making and performance measurement.
 </li>
 <li>
 Extreme comfort in ambiguous, fast-paced environment.
 </li>
 <li>
 Ability to multi-task, prioritize and coordinate resources.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if you Have:
 
 
 
 <ul>
 <li>
 MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
 </li>
 <li>
 Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
 </li>
 <li>
 Asian market experience.
 </li>
 <li>
 Travel industry / e-commerce / tech / consulting experience.
 
 
 </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </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 Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Sana Commerce

<div>
 
 
 Company Description
 
 
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 At Sana Commerce, we're looking for a Sr.
 
 Data Engineer (ML/AI)
 
 to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.
 
 
 
 
 
 
 Job Description
 
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Designing and maintaining
 
 data pipelines optimized for ML/AI workloads
 
 , including handling of large-scale, unstructured, and semi-structured data.
 </li>
 <li>
 Building
 
 feature pipelines and feature stores
 
 that ensure reusability and consistency of data used by machine learning models.
 </li>
 <li>
 Collaborating with Data Scientists and ML Engineers to understand
 
 data requirements for training, validation, and production deployment
 
 .
 </li>
 <li>
 Ensuring
 
 data quality, lineage, and governance
 
 meet standards required for AI/ML applications.
 </li>
 <li>
 Supporting
 
 MLOps practices
 
 by integrating data pipelines with model training, monitoring, and deployment workflows.
 </li>
 <li>
 Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for
 
 scalable ML data processing
 
 .
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 What you bring
 
 
 <ul>
 <li>
 
 8+ years
 
 of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to
 
 ML/AI-related data workflows
 
 .
 </li>
 <li>
 College degree that demonstrates your analytical abilities, such as Econometrics, Computer Sciences, Mathematics or similar;
 </li>
 <li>
 Excellent analytical and problem-solving skills;
 </li>
 <li>
 Experience with
 
 data preparation for ML/AI
 
 : managing large datasets, feature engineering, and real-time or batch data pipelines.
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 and how data engineering supports model lifecycle management.
 </li>
 <li>
 Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for
 
 complex ML pipelines
 
 .
 </li>
 <li>
 Knowledge of unstructured data processing (text, images, logs) is a plus.
 </li>
 <li>
 Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.
 </li>
 </ul>
 
 
 
 
 
 Why you&rsquo;ll love working here
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 
 
 
 Ready to build reliability that scales?
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
</div>

Senior Machine Learning Engineer

Selva trading

Job Title: Data Entry Specialist (E-commerce &ndash; Shopify)Job Overview: We are looking for a detail-oriented Data Entry Specialist to join our e-commerce team. The primary responsibility of this role is to manage product listings on our Shopify store, including entering product names, writing descriptions, and uploading product images. While we will provide guidance on how to write effective product descriptions, candidates must already be familiar with navigating and working within Shopify.Key Responsibilities:<ul><li>Add and update product listings on Shopify</li><li>Enter accurate product names and descriptions</li><li>Upload and organize product images</li><li>Ensure all product information is clear, consistent, and properly formatted</li><li>Assist with general administrative tasks when data entry work is limited</li></ul>Requirements:<ul><li>Previous experience working with Shopify (required)</li><li>Strong attention to detail and accuracy</li><li>Basic understanding of e-commerce product listing processes</li><li>Good organizational and administrative skills</li><li>Ability to manage time effectively and handle multiple tasks</li></ul>Preferred Skills:<ul><li>Experience in administrative roles</li><li>Transferable admin or coordination skills</li><li>Familiarity with e-commerce workflows</li></ul>Salary: EGP 5,000 &ndash; 6,000 per monthJob Type: Full-timeAdditional Notes: This role may include administrative responsibilities beyond product data entry, depending on workload and business needs.Pay: Up to E&pound;6,000.00 per monthWork Location: In person

Data Entry Specialist (E-commerce – Shopify)

<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.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 This role is based in Gurgaon, India.
 
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #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 #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #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 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </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>

Staff Machine Learning Engineer (India based, relocation provided)

Smartera 3S Solutions and Systems

<div>
 
 We are looking for an experienced and driven
 
 Senior Software Engineer
 
 to join our development team. This role is ideal for professionals with 5+ years of experience who are passionate about building scalable software and leading technical efforts. You will play a key role in designing, developing, and delivering robust software solutions, while mentoring junior engineers and contributing to the continuous improvement of our engineering practices.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the design, development, testing, and deployment of software applications.
 
 </li>
 <li>
 Write clean, efficient, and well-documented code following best practices.
 
 </li>
 <li>
 Own the maintenance and optimization of existing systems, ensuring performance and scalability.
 
 </li>
 <li>
 Conduct code reviews and provide mentorship to junior engineers.
 
 </li>
 <li>
 Collaborate with cross-functional teams including product managers, QA, and DevOps.
 
 </li>
 <li>
 Troubleshoot complex technical issues and implement robust solutions.
 
 </li>
 <li>
 Contribute to the planning and execution of agile development cycles.
 
 </li>
 <li>
 Drive adoption of modern tools, frameworks, and methodologies across the team.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, or a related field.
 
 </li>
 <li>
 5+ years of hands-on software development experience.
 
 </li>
 <li>
 Proficient in one or more programming languages such as Java, Python.. etc.
 
 </li>
 <li>
 Strong understanding of software architecture and design patterns.
 
 </li>
 <li>
 Experience with relational and/or NoSQL databases and Git-based version control.
 
 </li>
 <li>
 Excellent problem-solving, debugging, and analytical skills.
 
 </li>
 <li>
 Effective communication and collaboration abilities.
 
 </li>
 <li>
 Demonstrated ability to take ownership of features or systems and drive them to completion.
 
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Hands-on experience with ETL pipelines and data integration tools.
 
 </li>
 <li>
 Strong familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services.
 
 </li>
 <li>
 Solid understanding of data modeling, data warehouse architecture, and analytics infrastructure.
 
 </li>
 <li>
 Practical exposure to AI/ML concepts, models, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
 
 </li>
 <li>
 Experience with containerization, CI/CD pipelines, and DevOps practices.
 
 </li>
 </ul>
</div>

Senior Software Engineer

<div>
 
 About the job
 
 
 
 
 
 
 At Sana Commerce we're committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths.
 
 
 
 
 
 
 It all started in 2007, with a pizza and a plan.
 
 Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them.
 
 We&rsquo;re a fast-growing SaaS company that allows you to take ownership of your career.
 
 
 
 
 
 As a Senior Data Scientist, you will work in close partnership with Data Scientists, ML/AI Engineers, Engineering Managers, and Product leadership to shape and operationalize AI and GenAI capabilities within the Sana Commerce platform. You will design and develop intelligent features such as forecasting models, Retrieval-Augmented Generation (RAG) pipelines, semantic search, and document processing solutions, taking ownership of model development and ensuring readiness for production.
 
 
 
 
 
 This is a hands-on role with strong stakeholder interaction, requiring the ability to communicate complex topics clearly to non-technical audiences and influence product and technical decisions. You will collaborate closely with ML/AI Engineers to deploy scalable solutions and contribute to a culture of pragmatic AI development, balancing advanced approaches with real-world reliability, scalability, and cost-efficiency.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 AI/ML &amp; GenAI Development
 
 <ul>
 <li>
 Design and build machine learning and Generative AI solutions, including RAG pipelines, LLM-based applications, and semantic search
 </li>
 <li>
 Develop forecasting and predictive models to support business and product use cases
 </li>
 <li>
 Translate business problems into scalable AI/ML solutions
 </li>
 <li>
 Work closely with Product and Engineering teams to define and deliver AI-driven features
 </li>
 </ul>
 
 
 
 
 Model Development &amp; Production
 
 <ul>
 <li>
 Own the end-to-end lifecycle of ML models, from experimentation to production readiness
 </li>
 <li>
 Ensure models are designed for scalability, reliability, and performance
 </li>
 <li>
 Collaborate with ML/AI Engineers to deploy models into production systems
 </li>
 <li>
 Apply best practices for model evaluation, monitoring, and improvement
 </li>
 </ul>
 
 
 
 
 Stakeholder Collaboration
 
 <ul>
 <li>
 Work closely with Product, Engineering, and leadership teams to shape AI-driven roadmap decisions
 </li>
 <li>
 Communicate complex technical concepts clearly to non-technical stakeholders
 </li>
 <li>
 Influence product direction through data-driven insights
 </li>
 <li>
 Act as an advocate for Data and AI across the organization
 </li>
 </ul>
 
 
 
 
 Engineering &amp; Best Practices
 
 <ul>
 <li>
 Write maintainable, production-quality Python code
 </li>
 <li>
 Apply software engineering best practices (testing, logging, modular design)
 </li>
 <li>
 Contribute to improving standards across ML development and deployment
 </li>
 <li>
 Support experimentation and proof-of-concepts where needed
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 5+ years of experience in Data Science or ML Engineering, with a proven track record of deploying models into production environments
 </li>
 <li>
 Hands-on experience with GenAI architectures (RAG), LLM orchestration (LangChain or LlamaIndex), and vector databases (e.g., Pinecone, Qdrant)
 </li>
 <li>
 Strong understanding of scalability, reliability, and observability in ML systems
 </li>
 <li>
 Solid foundation in statistics, mathematics, and predictive modeling (e.g., forecasting)
 </li>
 <li>
 Strong Python skills, with experience writing production-quality code (OOP, testing, logging)
 </li>
 <li>
 Experience building APIs using FastAPI or Flask
 </li>
 <li>
 Experience with Docker and Kubernetes (AKS)
 </li>
 <li>
 Experience working with Microsoft Azure (Azure OpenAI, Azure ML, Azure DevOps)
 </li>
 <li>
 Experience collaborating with Engineering Managers and cross-functional teams
 </li>
 <li>
 Strong communication skills, with the ability to explain complex topics to non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Experience fine-tuning open-source LLMs (e.g., Llama, Mistral)
 </li>
 <li>
 Experience with information extraction or OCR
 </li>
 <li>
 Familiarity with MLOps tools (MLflow, Kubeflow, DVC)
 </li>
 <li>
 Background in B2B eCommerce, logistics, or supply chain
 </li>
 <li>
 Contributions to open-source projects or a strong technical portfolio
 </li>
 </ul>
 
 
 
 
 
 Why you&rsquo;ll love working here
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 Who we are
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 <ul>
 <li>
 
 Champions of Our League
 
 &ndash; We deliver lasting success, balancing quick wins and long-term value
 </li>
 <li>
 
 Supercharge Our Customers
 
 &ndash; We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed
 </li>
 <li>
 
 Determined to Grow
 
 &ndash; We embrace challenges, growing and raising the bar for ourselves and our industry
 </li>
 <li>
 
 Bold Together
 
 &ndash; We dare to be bold because we have each other&rsquo;s back
 </li>
 </ul>
 
 Job descriptions can be tough to interpret. Even if you may not tick all the boxes,
 
 we
 
 
 have ambitious plans and we encourage people
 
 who share our vision and look forward to growing with us.
 
 Apply now.
 
 
</div>

Senior Data Scientist (ML/AI and GenAI)

<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 Global Service Delivery (GSD) team is responsible for Agoda's office infrastructure and staff connectivity. We provide the hardware, software, and access to resources that allow staff to achieve their goals. We operate in 10 different countries, providing 24/7 support to all Agoda employees. Whether in the office, working remotely, or traveling, we enable everyone to stay connected. The GSD team uses state-of-the-art cloud management technologies combined with the best on-site services to manage the latest hardware running Windows, macOS, and Linux.
 
 
 
 Location: This role will be based in Bangkok, Kuala Lumpur or Gurgaon.
 
 
 
 <ul>
 <li>
 Bangkok: Full relocation support will be provided by Agoda.
 </li>
 <li>
 Kuala Lumpur &amp; Gurgaon: Applicants must already be eligible to work locally (citizens or holders of valid work authorization).
 
 
 </li>
 </ul>
 
 The Opportunity:
 
 
 
 As a Workday Payroll Specialist, you will serve as the primary expert ensuring our core Payroll processes operate seamlessly, with a focus on scaling and enhancing the setup in alignment with organizational requirements. While Payroll will be your core area, you will also contribute across other domains and additional HRIS platforms to strengthen our overall People Technology foundation.
 
 
 You&rsquo;ll partner closely with People and IT teams to deliver scalable solutions, optimize existing processes, and explore new ways Workday and other tools can bring value to the organization.
 
 
 If you&rsquo;re someone who enjoys solving complex problems, thrives in a collaborative environment, and is eager to expand your skills beyond Workday, this role will give you the platform to do just that.
 
 
 This role will be based in Bangkok and relocation will be provided.
 
 
 
 In this Role, you'll get to:
 
 
 
 <ul>
 <li>
 Configure, maintain, and support Workday Payroll interfaces/outputs, including functional setup for PECI
 </li>
 <li>
 Partner closely with Payroll stakeholders and vendors to align on requirements, mapping, cutoffs, exception handling, and ongoing operational improvements
 </li>
 <li>
 Build and maintain Workday payroll reporting (Advanced Reports, Calculated Fields, dashboards)
 </li>
 <li>
 Support Workday-side troubleshooting during payroll cycles, including investigating data issues, supporting file generation/extract issues, and collaborating on root-cause analysis with integration/vendor teams
 </li>
 <li>
 Own documentation and enablement for Workday payroll processes, including control checklists, mapping notes, SOPs, and knowledge transfer to strengthen team resiliency.
 </li>
 <li>
 Stay current on Workday releases and recommend enhancements/automation to reduce payroll cycle time, defects, and manual effort on the Workday side
 
 
 </li>
 </ul>
 
 What you'll Need to Succeed:
 
 
 
 <ul>
 <li>
 4 - 6 years of hands-on Workday experience, with at least 2&ndash;3 years supporting payroll-related Workday delivery and third-party payroll providers
 </li>
 <li>
 Hands-on experience with Workday PECI and/or EPI (per your environment): managing extracts/outputs, effective-dated events, filters, timing, and operational support
 </li>
 <li>
 Strong proficiency in Workday reporting for payroll (Advanced Reporting, Calculated Fields), creating reliable outputs for readiness checks, reconciliation support, and audit needs
 </li>
 <li>
 Solid understanding of payroll input drivers in Workday (HCM/Comp/Time/Absence impacts), especially effective dating, retroactivity implications, and data integrity
 </li>
 <li>
 Working knowledge of Workday Security and handling sensitive payroll-related data with appropriate controls
 </li>
 <li>
 Strong analytical and problem-solving skills: data tracing, root-cause analysis, and clear communication of findings/impacts to Payroll stakeholders
 </li>
 <li>
 Strong collaboration skills and stakeholder management; comfortable operating as the Workday owner while partnering tightly with Payroll and vendors
 
 
 </li>
 </ul>
 
 It's Great if you have:
 
 
 
 <ul>
 <li>
 Understanding of how Workday data typically feeds into downstream systems (payroll providers like Cloudpay/ADP) and what validations/cutoffs are commonly required
 </li>
 <li>
 Familiarity with integration/support practices: monitoring, scheduling, secure file transfer coordination, incident management, and change control.
 </li>
 <li>
 Experience supporting multi-country payroll inputs from Workday (global complexity, localization considerations.
 </li>
 <li>
 Experience in payroll-related testing: UAT support, regression support for Workday changes, parallel run support (Workday outputs and validation reports)
 
 
 </li>
 </ul>
 
 What you'll get:
 
 
 
 <ul>
 <li>
 Medical, dental, mental health support line, annual leave, travel discounts, sick days, and the AgodaChoice flexible spending benefit
 </li>
 <li>
 Provident fund benefits, and life insurance
 </li>
 <li>
 Flexibility to help you work in the way that's best for you with a work from home allowance, 30-day work from anywhere benefit, and hybrid working options.
 </li>
 <li>
 Unlimited online learning access, several in-person development programs for each stage of your career, and career paths for management and individual contributors
 </li>
 <li>
 The chance to live in Bangkok, one of the best cities in Southeast Asia and a central hub for travel. Within 3 hours you can hit any of the most popular countries like Vietnam, Singapore, Laos, Malaysia, and Hong Kong, just to name a few.
 </li>
 <li>
 A generous relocation package to help you get here comfortably.
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #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 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #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 #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </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>

[ITO] (GSD) Workday Specialist - Payroll Module (Bangkok/Indian/Malaysia-based, relocation provided)

Explore 35+ Data analyst in Alexandria this May. Find roles across top companies and apply now to boost your career.