Senior Data Scientist

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Overview:We are on the lookout for a dynamic and talented Data Scientist to become a key player in our retail team. The ideal candidate will possess a minimum of 2 years of hands-on experience in the data science field, showcasing proficiency in data analysis, predictive modeling, and machine learning techniques. Familiarity with MLOps, feature engineering, and data engineering processes will be advantageous.Key ResponsibilitiesData Analysis: Gather, preprocess, and scrutinize extensive datasets to uncover trends and derive actionable insights that address retail business challenges.Model Development: Construct, train, and implement machine learning models for various applications including demand forecasting, customer behavior analysis, and inventory optimization.Collaboration: Work closely with cross-functional teams, including data engineers and business stakeholders, to convert requirements into effective data-driven solutions.Visualization and Communication: Convey insights and findings through engaging visualizations and dashboards that support decision-making processes.Innovation: Remain knowledgeable about the latest tools and methodologies in data science and retail analytics.Optional Responsibilities (if experienced):Feature Engineering: Enhance and optimize features to bolster machine learning model performance and automate feature extraction pipelines for scalable workflows.MLOps: Assist in the deployment, monitoring, and retraining of machine learning models within production settings.Data Engineering: Aid in designing and sustaining data pipelines while ensuring data integrity.

Job Summary: Take the lead in developing comprehensive solutions utilizing Large Language Models (LLMs). Foster innovation and apply LLMs to address intricate business challenges effectively. Engage in cross-functional collaboration to create scalable and value-oriented LLM systems. Key Responsibilities: LLM-Centric Solution Development: Architect, refine, and deploy state-of-the-art LLMs for applications such as content generation, intelligent assistants, semantic search, and knowledge retrieval. Assess and select suitable foundational models (e.g., GPT, LLaMA, Mistral) and customize them for specific organizational needs. Develop modular and scalable pipelines for LLM applications, encompassing prompt engineering, inference optimization, and feedback mechanisms. Collaborative Project Contribution: Partner with Machine Learning Engineers, Data Engineers, DevOps Engineers, Developers, and stakeholders to establish project objectives and align model functionalities with business goals. Translate high-level requirements into actionable development strategies with clear KPIs. Support the end-to-end lifecycle of LLM projects from initial experimentation through to deployment. Technical Excellence: Remain abreast of the rapidly evolving landscape of LLMs, including open-source models, toolkits (e.g., Hugging Face, LangChain), and retrieval-augmented generation (RAG) frameworks. Optimize the cost, performance, and latency of LLM inference at scale. Ensure reproducibility, quality, and efficiency throughout LLM workflows. Effective Communication & Collaboration: Clearly articulate technical findings and solution designs to diverse audiences, both technical and non-technical. Contribute to internal LLM best practices and knowledge sharing. Provide technical support and informal mentoring regarding LLM topics across teams.

Key ResponsibilitiesLeadership and Strategic DevelopmentSteer comprehensive AI and Advanced Analytics projects to bolster CP Axtra’s Retail and Wholesale sectors.Formulate and implement an innovative AI strategy aimed at achieving significant improvements in revenue, operational efficiency, and customer engagement.Act as a liaison between business functions and technology to facilitate the adoption and scaling of AI initiatives across various departments.Keep abreast of both global and local AI advancements, including Generative AI, personalization, forecasting, and optimization, to enhance CP Axtra’s market position.Analytics and AI ImplementationOversee the design, development, and implementation of machine learning and AI models that include personalization engines, pricing optimization, demand prediction, inventory management, and GenAI/NLP applications.Manage experimentation, validation, and ongoing monitoring of AI/ML models to guarantee scalability, reliability, and integration within business operations.Ensure effective collaboration with data engineering teams to create robust data pipelines and MLOps for production-ready solutions.Collaborative Business EngagementWork closely with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to collaboratively develop AI use cases and promote their adoption.Establish strong relationships with stakeholders to align on priorities, effectively communicate trade-offs, and manage expectations.Serve as a trusted advisor to senior management, translating complex AI insights into actionable strategies.Promote the significance of AI and data-driven decision-making throughout the organization.Team Leadership and CollaborationGuide and mentor a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous improvement.Encourage cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver cohesive solutions.Facilitate knowledge sharing and enhance internal AI/ML capabilities to elevate organizational maturity.Performance Measurement and EnhancementDefine and track success metrics for AI initiatives, including sales growth, campaign ROI, operational cost savings, and customer lifetime value.Continuously evaluate and optimize AI-driven processes to maximize business outcomes.Communicate findings, case studies, and success stories to build trust and ensure alignment with business leaders.

About AgodaAt Agoda, we connect the world through travel. Founded in 2005 by two friends with a passion for exploration, our mission has been to empower everyone to discover new destinations effortlessly.As part of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 professionals from 90 countries collaborates every day to provide exceptional deals on millions of hotels, flights, and activities worldwide.No two days are the same at Agoda. Our culture is driven by data and technology, fostering curiosity and innovation. If you're eager to embark on a rewarding journey and contribute to shaping the future of travel, we invite you to join us.Get to Know Our TeamAt Agoda, we are developing a revolutionary Personal Travel Assistant—an LLM-powered product designed to facilitate seamless trip planning and booking for users. This innovative solution is built from the ground up, integrating directly into our real booking flows at Agoda's scale. You will have substantial ownership in designing, building, and evolving the system, making impactful technical and product decisions from day one.This position is perfect for seasoned Data Scientists or ML professionals who relish the challenge of managing complex systems end-to-end while collaborating closely with product and engineering teams.What You'll DoOwn end-to-end LLM systems: Design, develop, and oversee LLM-based systems that understand user intent and facilitate multi-step trip planning.Transform ambiguity into actionable solutions: Convert open-ended product challenges into robust ML and LLM architectures, balancing quality, latency, cost, and reliability.Drive cross-functional collaboration: Work closely with product, engineering, and leadership to make informed decisions that shape the product and enhance user experience.Iterate based on real-world feedback: Rapidly deploy, analyze production usage, and continuously refine system performance at scale.

Join our dynamic team at joinmakropro as a Senior Data Engineer! We are looking for a seasoned professional with a proven track record in data engineering to architect, execute, and sustain our data infrastructure and processing pipelines. The ideal candidate will possess a robust background in big data technologies, cloud platforms, and data engineering practices. You will collaborate closely with data scientists, analysts, and various stakeholders to deliver efficient and dependable data solutions. A proactive mindset and a commitment to excellence are essential.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Implement and optimize data storage solutions, including data warehouses and data lakes.Work alongside data scientists and analysts to comprehend data needs and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all systems.Create and maintain data models and schemas.Establish data security and access control protocols.Enhance query performance and data retrieval processes.Assess and incorporate new data technologies and tools.Guide junior data engineers and provide technical mentorship.Collaborate with cross-functional teams to advance data-driven decision-making.

Join Agoda’s Display Marketing Team as a Senior Data Engineer, where you will drive data-driven decision-making and enhance our marketing strategies through sophisticated data pipelines and analytical solutions. As a key member of our team, you will collaborate with marketing professionals to design, develop, and implement robust data architectures that facilitate seamless data flow and accessibility.

Agoda is seeking a Senior Data Platform Engineer based in Bangkok, Thailand. This role centers on shaping and strengthening the company’s data infrastructure to support business analytics and improve how teams access data. What you will do Design, build, and maintain data systems that serve the organization’s analytical needs Work to improve data accessibility for teams across Agoda Collaboration Work closely with other skilled professionals to develop and refine data solutions. The environment encourages sharing ideas and learning from peers. Technology This position involves working with modern data technologies as part of efforts to advance Agoda’s data platform.

Join agoda as a Senior/Staff Data Platform Engineer and play a pivotal role in shaping our data infrastructure. We are looking for seasoned engineers passionate about data platforms, eager to tackle challenging problems, and to innovate within a dynamic team environment. You will have the opportunity to work with cutting-edge technologies and contribute to enhancing our data processing capabilities while ensuring high availability and scalability.

Join Data Wow as a Data Engineer, where you'll collaborate with a talented team of Data Scientists and Data Analysts to design and implement robust data pipelines. This role offers the opportunity to work with cutting-edge data warehouse technologies and data ingestion tools while creating innovative proof of concept products tailored for our clients. You'll be an integral part of a dynamic team dedicated to delivering impactful data-driven solutions.Key Responsibilities Design, maintain, and optimize diverse data pipelines to ensure efficiency and reliability. Utilize data ingestion tools to streamline data acquisition. Enhance data warehouse performance and optimize resource utilization. Collaborate with Data Scientists to create proof of concept products that leverage machine learning models. Explore and implement new methodologies to improve existing data architecture.

Veeam, recognized as the global leader in data resilience, empowers organizations to maintain complete control over their data at any time and from any location. With a focus on data backup, recovery, portability, security, and intelligence, Veeam serves over 550,000 customers worldwide, providing them with the trust and tools needed to keep their operations seamless. As we continue to evolve and innovate, we invite you to be part of our journey, making significant strides for some of the world’s most prominent brands. The future of data resilience is here—join us as we advance boldly together.About the Role: Following our acquisition of Securiti AI, a pioneer in AI-driven data security posture management (DSPM), Veeam is on the lookout for a Senior Sales Engineer. This role will be pivotal in providing technical expertise within our sales team, with an emphasis on the Securiti AI portfolio. You will collaborate closely with a Securiti Sales Specialist and offer support to 3–5 Account Executives and Veeam Solution Engineers as the go-to technical expert.Your responsibilities will include guiding clients from their initial needs assessment through to solution design, showcasing the value of our offerings through hands-on demonstrations and proof-of-concepts. To excel in this position, strong technical proficiency coupled with the ability to establish lasting relationships with clients is essential.What You’ll Do:</strong> Act as the primary technical liaison for Securiti AI solutions throughout the sales processLead technical discussions and tailor security solutions to meet client needsAddress customer requirements in data discovery, posture management, and complianceDesign and deliver compelling product demonstrations and proof-of-concept presentationsWork collaboratively with product, engineering, and customer success teams to ensure seamless transitionsWhat You’ll Bring:</strong> Extensive experience in pre-sales or sales engineeringDeep understanding of data and/or cloud securityStrong communicator adept at engaging both technical and business stakeholdersOver 10 years of technical sales experience in security15+ years in Software/SaaS/Enterprise technical salesPractical knowledge of AWS, Azure, or GCPFamiliarity with data privacy/security standards (e.g., GDPR, etc.)

About AgodaAt Agoda, we are transforming the travel experience by connecting people to the world. Founded in 2005 by two lifelong friends with a passion for travel, we have grown into a global powerhouse, making travel accessible to everyone.As a part of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 professionals from 90 countries collaborates in offices worldwide. Each day, we facilitate connections to a myriad of destinations and experiences, offering exceptional deals on a vast selection of hotels, flights, and activities worldwide.At Agoda, no two days are alike. Data and technology are the driving forces behind our culture, fostering curiosity and innovation. If you're eager to embark on an exciting journey and contribute to shaping the future of travel, we invite you to join us.Get to Know our Team:The Performance Marketing Team at Agoda is a global leader in online marketing. This team thrives on data-driven strategies designed to enhance customer lifetime value through impactful marketing initiatives. Comprising top analysts, marketing strategists, and data scientists, our team is led by experts in data science, product strategy, and marketing, fostering a collaborative environment rich in learning opportunities.In this Role, you’ll get to:Experiment with text ads, bidding strategies, and campaign structures across various search engines including Google, Bing, Baidu, and Naver. Adapt to emerging product features and implement changes effectively.

Join Cube Asia as a Data Engineer, where you will leverage diverse methodologies to convert raw data into impactful data systems. Your role will focus on enhancing efficiency by ensuring that our data systems align with business objectives.Success in this role requires a solid background in large-scale public data collection from web sources, utilizing open APIs and various tools. A comprehensive understanding of the regulations and technical aspects surrounding such data collection is essential.Familiarity with multiple programming languages and a foundational knowledge of machine learning techniques are also crucial. If you are detail-oriented, possess strong organizational skills, and have experience in this domain, we want to hear from you!

Join Minor International as a Data Solutions Manager where you will spearhead the development and implementation of innovative data solutions that drive business success. This role requires a strategic mindset and the ability to collaborate with cross-functional teams to enhance data-driven decision-making processes.

JoinMakroPro is on the lookout for a skilled Data Engineer who can effectively design, implement, and maintain robust data infrastructure and pipelines. The successful candidate will possess a solid foundation in data engineering, expertise in big data technologies, and proficiency in cloud platforms. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to deliver efficient and reliable data processing and storage solutions.Key Responsibilities: Architect, develop, and sustain scalable data pipelines and ETL processes. Optimize and implement data storage solutions, such as data warehouses and data lakes. Work hand-in-hand with data scientists and analysts to grasp data needs and facilitate efficient data access. Guarantee data integrity, consistency, and reliability across all data systems. Create and uphold data models and schemas. Establish data security and access control protocols. Enhance query performance and data retrieval methods. Assess and incorporate emerging data technologies and tools. Guide junior data engineers and offer technical leadership. Collaborate with cross-functional teams to bolster data-driven decision-making.

We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizing state-of-the-art technologies to optimize performance and scalability. If you thrive in a fast-paced environment and are eager to contribute to innovative data solutions, we want to hear from you!

Join aCommerce as a Data Engineer and play a pivotal role in constructing, optimizing, and sustaining robust data pipelines. You will also design innovative data models within our Data Platform, empowering analysts to drive critical business outcomes in our data-driven environment. In this role, you will leverage our cloud-based Big Data Platform to analyze both structured and unstructured marketplace data from various sources, enabling effective data utilization. You will be tasked with strategizing the optimal use of all data extracted from these diverse marketplaces. Collaboration will be key as you work closely with application teams and product managers to ensure alignment with business objectives and the overall roadmap.

Data Audit & ValidationAs a Data Quality Analyst, you will conduct daily cross-verifications between our internal pricing data and competitors' prices obtained through scraping techniques. Your keen eye will help identify discrepancies in product matching, unit conversions, and promotional mechanics, ensuring that our data maintains the highest level of accuracy prior to being utilized for pricing strategies.Data Quality & CleaningYour role will involve detecting and rectifying data issues such as incorrect SKU mappings, unit mismatches, outlier prices, and errors from scraping tools. You will also uphold clear standards for product matching and validation.Competitive Gap AnalysisYou will perform thorough analyses of pricing gaps against competitors, highlighting significant deviations and summarizing key findings and trends for management review.Process ImprovementCross-Functional Collaboration

Join our dynamic team as an AI Data Specialist, where your expertise will contribute to the enhancement of AI-generated content in Thai. Job Type: FreelanceLocation: Work from homeWork Schedule: Part-time - 10+ hours per week. Flexible hours to suit your lifestyle.Start Date: ImmediateDuration: To Be ConfirmedRate: Rates vary by location. Be a Part of AI's FutureIf you're a student, a recent graduate, a stay-at-home parent, a gig worker, or a professional eager for flexible remote work, join us in shaping the future of AI models! Your ResponsibilitiesIn this role, you'll engage in various data-related tasks, which include:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Counting tasks.Object tagging and labeling across various content types such as audio, video, images, or collected data. Ideal Candidate Profile:- Native-level fluency in Thai.- English Proficiency: Fluent or advanced proficiency (B2–C2).- Preferred Skills in AI & Data: Experience in machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Provide:- A flexible working schedule.- An opportunity to earn additional income.- Timely payments.- A perfect job for students, part-timers, or stay-at-home parents.

Join our dynamic team as an AI Data Specialist, where you will play a pivotal role in enhancing the quality of AI-generated content in Burmese. This freelance position allows you to work from home with a flexible schedule, making it ideal for students, recent graduates, or anyone seeking part-time opportunities. You'll engage in a variety of data-related tasks, including data collection, evaluation, annotation, and object tagging across diverse content types such as audio, video, and images.