Data Scientist Jobs in Singapore

6 open positions found · Salary range: From $200

Pioneer Talent Program - Applied Data Scientist

BinanceHong Kong; Singapore

From $300/yr

<div class="content-intro">Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.</div>About the Role We are seeking an Applied Data Scientist to join our Algorithm team — a hands-on builder at the intersection of LLM systems, agentic AI, and crypto-native intelligence. You will design, build, and improve AI agents that understand markets, reason over on-chain data, and take actions at speed for hundreds of millions of users — across reasoning models that plan before they act, multi-agent systems that orchestrate complex crypto workflows, and test-time scaling that pushes inference-time intelligence to its limits. You build for real environments: designing agent architectures, improving performance across quality and latency, developing evaluation methods for open-ended tasks, and turning research ideas into production.     Responsibilities <div> <ul> <li>Design and implement production-grade LLM pipelines powering Binance AI Products and next-generation agentic trading features — including multi-step reasoning agents, tool-selection frameworks, and autonomous workflow execution across spot, perpetual, and on-chain markets</li> <li>Continuously improve agent capabilities in understanding, reasoning, tool selection, and action execution — optimizing simultaneously for intelligence, latency, and reliability under high-frequency trading constraints</li> <li>Build and maintain evaluation frameworks for reasoning model outputs in crypto contexts — covering market analysis accuracy, agent decision quality, hallucination detection, and adversarial robustness against prompt injection in financial workflows</li> <li>Apply test-time scaling techniques — chain-of-thought, self-consistency, process reward models — to push agent reasoning quality in ambiguous, fast-moving market conditions</li> <li>Architect AI system components with rigorous attention to inference latency, throughput, and cost efficiency — leveraging serving frameworks such as vLLM and TensorRT-LLM — in a zero-downtime, 24/7 trading environment</li> <li>Integrate on-chain data sources, wallet intelligence, and crypto market signals into LLM-powered analytical pipelines — building the data layer that makes Binance's agents genuinely crypto-native</li> <li>Partner with research scientists to translate experimental findings into production-grade agentic solutions with clear performance benchmarks</li> </ul> Qualifications</div> <div> <ul> <li>Bachelor's or Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related technical field</li> <li>0–5 years of industry or research experience in applied ML or AI engineering</li> <li>Strong Python programming skills ;  Equally important: demonstrated comfort with vibe coding — using AI-assisted development tools fluidly as core part of your workflow</li> <li>Demonstrated hands-on experience with LLMs — prompt engineering, post-training, or end-to-end LLM application development</li> <li>Familiarity with multi-agent system design — task decomposition, tool use via MCP, memory management, parallel agent execution, and inter-agent communication</li> <li>Strong analytical thinking and problem decomposition; comfortable operating under ambiguity in fast-moving environments</li> </ul> </div><div class="content-conclusion">Why Binance <ul> <li>Shape the future of finance </li> <li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li> <li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li> <li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li> <li>Competitive salary and company benefits</li> <li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)</li> </ul> Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our <a href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

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LLM Applied Data Scientist (RAG/ NLP)

BinanceHong Kong; Singapore

From $300/yr

<div class="content-intro">Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.</div> About the Role We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages. A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*. You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. Responsibilities <ul> <li>Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and mode training applications   (Customer Service, Token Report, Web3 Domain Models). This includes embedding, reranking, context engineering, and query rewriting models.</li> <li>Research and evaluate advanced AI-native retrieval algorithms (e.g., low-latency, multimodal retrieval, hierarchical retrieval, GraphRAG) to strengthen large-scale LLM/VLM/Agentic AI capabilities in Binance products.</li> <li>Collaborate with infrastructure and application teams to integrate RAG pipelines into production systems, ensuring scalability, reliability, and measurable business impact.</li> <li>Develop and optimize retrieval and ranking pipelines (indexing, vector search, retrieval scoring, reranking) to improve user experience.</li> <li>Participate in LLM training and RAG system, staying current with techniques such as pre-training, SFT, and reinforcement learning, and apply them to retrieval and generation tasks.</li> <li>Apply NLP, CV, and multimodal methods to analyze user-generated content (classification, quality evaluation, trend detection, comment analysis).</li> </ul> Requirement <ul> <li>Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields.</li> <li>Proficient in PyTorch with strong coding skills in Python or C++.</li> <li>Strong communication skills, intellectual curiosity, and passion for lifelong learning. Able to identify opportunities and drive cutting-edge retrieval & RAG technologies into real-world applications.</li> <li>Solid theoretical foundation in information retrieval, NLP, and deep learning (experience with embeddings, reranking, query understanding preferred).</li> <li>Hands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems.</li> <li>Strong engineering ability to translate research into scalable, production-level systems.</li> <li>Self-driven, able to own projects end-to-end (design → implementation → deployment).</li> <li>Publications in top-tier conferences/journals (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW) are a plus; awards in ACM/ICPC or similar competitions preferred.</li> </ul><div class="content-conclusion">Why Binance <ul> <li>Shape the future of finance </li> <li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li> <li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li> <li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li> <li>Competitive salary and company benefits</li> <li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)</li> </ul> Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our <a href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

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LLM Applied Data Scientist (RAG/ NLP)

BinanceSingapore

From $300/yr

<div class="content-intro">Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.</div> About the Role We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages. A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*. You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. Responsibilities <ul> <li>Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and mode training applications   (Customer Service, Token Report, Web3 Domain Models). This includes embedding, reranking, context engineering, and query rewriting models.</li> <li>Research and evaluate advanced AI-native retrieval algorithms (e.g., low-latency, multimodal retrieval, hierarchical retrieval, GraphRAG) to strengthen large-scale LLM/VLM/Agentic AI capabilities in Binance products.</li> <li>Collaborate with infrastructure and application teams to integrate RAG pipelines into production systems, ensuring scalability, reliability, and measurable business impact.</li> <li>Develop and optimize retrieval and ranking pipelines (indexing, vector search, retrieval scoring, reranking) to improve user experience.</li> <li>Participate in LLM training and RAG system, staying current with techniques such as pre-training, SFT, and reinforcement learning, and apply them to retrieval and generation tasks.</li> <li>Apply NLP, CV, and multimodal methods to analyze user-generated content (classification, quality evaluation, trend detection, comment analysis).</li> </ul> Requirement <ul> <li>Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields.</li> <li>Proficient in PyTorch with strong coding skills in Python or C++.</li> <li>Strong communication skills, intellectual curiosity, and passion for lifelong learning. Able to identify opportunities and drive cutting-edge retrieval & RAG technologies into real-world applications.</li> <li>Solid theoretical foundation in information retrieval, NLP, and deep learning (experience with embeddings, reranking, query understanding preferred).</li> <li>Hands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems.</li> <li>Strong engineering ability to translate research into scalable, production-level systems.</li> <li>Self-driven, able to own projects end-to-end (design → implementation → deployment).</li> <li>Publications in top-tier conferences/journals (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW) are a plus; awards in ACM/ICPC or similar competitions preferred.</li> </ul><div class="content-conclusion">Why Binance <ul> <li>Shape the future of finance </li> <li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li> <li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li> <li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li> <li>Competitive salary and company benefits</li> <li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)</li> </ul> Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our <a href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

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Staff Data Scientist, Algorithm, Financial Markets

AirwallexSG - Singapore

From $675,000/yr

ABOUT AIRWALLEX Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full. HOW YOU'LL MAKE IMPACT The Financial Markets team is building the data science capabilities that support FX pricing, execution and risk decisions. You'll own the modelling and analysis roadmap for the FX product and turn rigorous statistical and machine learning work into better trading, product and commercial decisions. - Own and drive the technical direction and modelling roadmap for the FX product, identifying high-impact opportunities and prioritising work in collaboration with Product Managers. - Develop and productionise models to forecast and monitor FX rate volatility, providing actionable insights to support trading and execution strategy. - Apply statistical and machine learning models to optimise FX trade execution, focusing on minimising cost, improving routing efficiency and managing market risk exposure. - Establish robust backtesting, validation, monitoring and governance practices for financial-market models. - Partner with Product Managers, Traders, Risk, Engineering and other stakeholders to translate analytical findings into trading and product decisions. - Define success metrics and evaluate the incremental impact of models and strategies in production. - Move quickly from analysis to decision-ready recommendations, communicating clearly with executives and cross-functional partners—even when the data or problem is ambiguous. - Conduct customer and commercial analysis where it directly informs FX strategy, pricing or product priorities. You'll work from our Singapore office five days a week. WHAT WE'RE LOOKING FOR ESSENTIALS - 7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science or Economics. - Significant experience applying statistics, machine learning or optimisation to financial markets, trading, fintech or other dynamic decision systems. - Strong understanding of FX, execution, pricing, liquidity, market risk or related quantitative domains. - Expert Python skills and strong SQL skills; experience with R or other quantitative tools is a plus. - Strong foundations in time-series modelling, statistical inference, optimisation and experimental design. - Ability to do schema design and dimensional data modelling, taking models from research/prototyping into reliable production systems. - Proven ability to set direction, influence and communicate with senior stakeholders and deliver through cross-functional teams. PREFERRED - Experience in technology, financial services, a trading environment and/or a high-growth environment. YOU'LL THRIVE HERE IF - You're comfortable owning the roadmap yourself. - You're comfortable making decisions with incomplete information and moving quickly anyway. - You connect dots across functions and hold the big picture without losing grip on the details. - You simplify complexity rather than hiding behind it. - You can advocate hard for a position, then fully support the team's direction once a call is made. LEARN MORE ABOUT YOUR TEAM Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimizes product and business outcomes in real time. You’ll build systems of decision that help teams understand what changed, determine what to do next, and learn whether the action worked. This means owning the AI analytics harness around the analysis—including semantic layers, context retrieval, evaluation infrastructure, validation gates, and governance—so decisions remain reliable, contextualized, and trustworthy at scale. You’ll also build systems of action that use machine learning and AI to shape product behavior, ranking, pricing, risk, allocation, and customer experiences. The work extends beyond training models to designing how intelligent systems reason, use tools, operate within guardrails, execute workflows, and measure their incremental impact. As AI makes ad hoc analysis increasingly accessible, the remaining advantage is scale, scientific method, and rigor. You’ll structure ambiguous problems, design experiments, identify confounding factors, challenge misleading conclusions, and build production systems that produce reliable outcomes repeatedly—not just one-off answers. The work is moving up the stack: from analysis to system, from model to harness, and from answering a question once to building something that answers it correctly over time. If you want to create data science systems that compound decision quality and turn intelligence into measurable action, this is where that work happens. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. EQUAL OPPORTUNITY Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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Binance Accelerator Program - Data Scientist (Recommendation/Square Community)

BinanceSingapore

From $300/yr

<div class="content-intro">Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.</div>About the Role <div> We are looking for a Data Scientist early careers talent to join the Binance Square team and support the development of next-generation recommendation and community intelligence systems. Binance Square is evolving from a content feed into an intelligent Web3 financial community, helping users discover market trends, trading ideas, hot topics, and high-quality creators. In this role, you will work closely with data scientists, algorithm engineers, product managers, and business teams to improve content distribution, user engagement, and community growth through data-driven recommendation strategies. </div> Responsibilities <div>Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify opportunities for recommendation improvement. Support the optimization of key recommendation scenarios, including Feed, Hot Tab, Topic, News, Trading Analysis, and creator distribution. Build and refine data metrics for content quality, user interest profiling, creator quality, community health, and trading-related content. Participate in recommendation strategy design, including recall, ranking, cold-start, diversity, personalization, and traffic allocation. Conduct A/B testing, metric monitoring, bad-case analysis, and experiment deep dives to evaluate algorithm and product impact. Explore the application of LLMs and multimodal models in content understanding, topic tagging, hot event detection, and personalized distribution. Work with engineering teams to improve data pipelines, feature logging, experiment tracking, and recommendation system efficiency.</div> Requirements <div>Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Strong analytical skills and solid understanding of statistics, machine learning, and data mining. Proficient in SQL and at least one programming language such as Python. Familiar with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis. Good business sense and ability to translate data insights into product or algorithm improvements. Strong communication skills and ability to work cross-functionally with product, algorithm, engineering, and operations teams. Interest in Web3, crypto, financial markets, online communities, or content recommendation is a plus.</div><div class="content-conclusion">Why Binance <ul> <li>Shape the future of finance </li> <li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li> <li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li> <li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li> <li>Competitive salary and company benefits</li> <li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)</li> </ul> Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our <a href="https://www.binance.com/en/candidate/privacy/notice">Candidate Privacy Notice</a>. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

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[Data Scientist] Principal Data Scientist - SG

AgodaSingapore

From $200/yr

<div class="content-intro"> 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’re ready to begin your best journey and help build travel for the world, join us.</div>  Get to Know Our Team The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. What You’ll Do <ul> <li>Identify and solve high-leverage problems across Agoda.</li> <li>Translate ambiguous problems into measurable objectives and technical solutions.</li> <li>Lead the design and deployment of ML, AI, and analytical solutions.</li> <li>Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.</li> <li>Partner with cross-functional leaders to shape strategy and roadmaps.</li> <li>Provide technical leadership and mentorship across the data-science community.</li> </ul> <div> What You’ll Need</div> <ul> <li>Extensive hands-on experience in data science, machine learning, and statistics.</li> <li>Experience delivering production models with measurable customer or business impact.</li> <li>Strong Python and SQL skills; experience with large-scale data and ML platforms.</li> <li>Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.</li> </ul> <div> Nice to Have</div> <ul> <li>Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.</li> <li>Experience with production LLM or generative-AI systems.</li> <li>Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.</li> </ul>  <div class="content-conclusion">  <h4> </h4> <h4>Please review our Hiring Process Guidelines before your interview — click <a href="https://careersatagoda.com/interview/">here </a>to learn how interviewing at Agoda works.</h4>     <h3>Discover more about working at Agoda</h3> <ul> <li>Agoda Careers <a href="https://careersatagoda.com/">https://careersatagoda.com</a></li> <li>Facebook <a href="https://www.facebook.com/agodacareers/">https://www.facebook.com/agodacareers/</a></li> <li>LinkedIn <a href="https://www.linkedin.com/company/agoda">https://www.linkedin.com/company/agoda</a></li> <li>YouTube <a href="https://www.youtube.com/agodalife">https://www.youtube.com/agodalife</a></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’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 <a href="https://careersatagoda.com/privacy-statement" target="_blank">privacy policy</a>. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’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>

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Companies hiring for Data Scientist

Binance (4)Airwallex (1)Agoda (1)

Data Scientist Salary Data in Singapore

View detailed salary ranges from 6 listings with reported compensation ›

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