Responsibilities:

• Collect, clean, and analyse large datasets to uncover trends, patterns, and insights.
• Interpret data and develop reports, visualizations, and dashboards to present findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Identify opportunities for process improvements and data quality enhancements.
• Utilise statistical methods and predictive modeling to support decision-making and business strategies.
• Stay updated on industry best practices and emerging trends in data analysis and visualisation.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Apply state of the art machine learning knowledge to the healthcare domain to identify solutions to healthcare problems.
• Work with large data sets, integrate diverse data sources, data types and data structures into the solution.
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
• Collaborate with various stakeholders on the formulation and application of new modelling solutions for a variety of healthcare related problems.
• Engage in deep research and identify new predictive modelling techniques as appropriate for a specific solution.
• Present research results and recommendations.
• Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Gather, assess, refine, and translate business requirements into technology requirements.
• Design data architecture framework and standards for scalability, performance, high availability, and reliability throughout the data life cycle.
• Work closely with project team (business, solutioning and infrastructure, etc) throughout the project cycle.
• Define and govern data architecture artifacts.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Develop and design solutions for data analysis in healthcare domain.
• Identify technical requirements from business requirements.
• Work with team to design and implement end-to-end technical solutions.
• Document solution requirements and architecture.
• Work with the Authority for testing and deployment of solution.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

National University of Singapore (NUS) is a reputed world-class university that provides an outstanding and supportive research environment. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

NUS Department of Computer Science is seeking a highly motivated and talented postdoctoral researcher to join our team. This postdoctoral research project will focus on graph analysis. The goal is to develop effective and scalable algorithms for mining complex networks.

Qualifications

• PhD degree in Computer Science.
• Thorough understanding of data structures and algorithms, with high self-motivation and excellent problem-solving ability.
• At least 3 first-author publications in top-tier conferences related to database or data mining, such as SIGMOD, VLDB, and KDD.
• At least 1 year of experience in industrial R&D, particularly in deploying algorithms on online platforms handling massive data.

What will you be doing?

Your responsibilities will include:

• Analyze the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

OK, I’m interested… is this the job for me?

We look for people who value agility, passion and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you.

Other qualities that you’ll need to be a fit for this role include:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Job Scope:

• Image Labeling: categorize images based on specific criteria provided by the project. This includes identifying key elements in images, tagging images with relevant labels, and ensuring accurate representation of content.
• Audio Labeling: Listen to audio recordings, transcribe them accurately into written form, and label the audio files according to the content expressed. This may involve differentiating between various speakers, understanding context, and providing detailed annotations.
• Quality Assurance: Maintain high standards of data labeling accuracy and consistency. Perform quality checks on labeled data to ensure compliance with project guidelines.

Requirements:

• Fluent in English, both written and spoken, with a strong ability to understand various Southeast Asian accents.
• Meticulous attention to detail to ensure high-quality work.
• Previous experience in data labeling or a related field is beneficial but not mandatory.
• Training on specific data labeling tools and project guidelines will be provided upon hiring.

Working Hours:

Mon - Fri: 8.30am-5.30pm

Contract Duration: 1 month starting from November 2024

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About the Asian Institute of Digital Finance (AIDF)

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

• Work with the research team to build and enhance the existing IT infrastructure, related to Big Data and AI-powered digital finance research
• Build out the data pipeline that will feed into the research project
• Strong business analytics background
• Strong Mathematics background
• Strong programming skills in Python, Java and C++
• Full stack developing experience

Qualifications

• PhD in an IT or Computer Science related field
• At least 7 years of relevant experience designing and managing Big Data and Data Science infrastructure
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication skills, including the ability to write reports and deliver presentations to a variety of stakeholders.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously

JOB PURPOSE:

We are looking for a passionate and quick-thinking individual. This successful candidate will transform raw data into meaningful and insightful information, that empowers our business users for better decision making.

KEY RESPONSIBILITIES:

• Learn and understand WSI Sourcing business workflow and data requirements.
• Interpret data, analyze results using data collection techniques and providing reports & dashboards
• Develop and implement data collection techniques where needed, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain good data in our database systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

JOB HOLDER’S COMPETENCIES & EXPERIENCE:

• Degree/Diploma Computer Science, Information Management or Statistics, Mathematics
• At least 5 years of working experience as a data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Proficient in writing and optimizing SQL statement, and programming (XML, data transformation services, ETL)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Experience with using or implementing Power BI would be advantageous
• Proficient in data automation
• Experience with application of Large Language Models would be advantageous

• Position : Admin Assistant (Customer Service/Data Entry)
• Location : Tuas - daily company transport to/from Boon Lay and Jurong East MRT
• Working hours : Monday - Friday 9.00am to 6:00pm
• Salary (commensurate with experience) : Up to $3200 + AWS + 14 Days Annual Leave + Variable Bonus + Mobile allowance
• Duration : Permanent
• Industry :Concrete Precast

Main Responsibilities:

• Work as part of admin team to ensure customers the best possible experience on all fronts of the company.
• Check all POs and DOs from internal and external parties to ensure items, quantity, and amount are correct.
• Data entry of information
• Filing, checking and verify documents.
• Office admin including handling phone calls.
• Additional administrative duties when assigned.

Requirements:

• Proficient in software applications, particularly Microsoft Office
• Good communication skills.
• 1-2 years relevant experience preferred.
• well-organized, meticulous and able to work in a fast-paced environment
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Descriptions

Design and Engineering management

• Act as the primary link between the construction team and external design consultants on all Architectural/ Fitout works.
• Act as the primary link between the project team and the client’s design team on all design related items.
• Provide clear direction as to approach, schedule and priorities to the external design consultants and manage their works to ensure deliverables are received in good time to facilitate construction.
• Engage with Project/Site Engineers and Construction management team to incorporate site constraints and preferred construction techniques/methods into the design
• Resolve design related queries
• Verify design and review deliverables for completeness and accuracy

Site operations coordination and monitoring

• Engage with Site Engineers and Construction Management team for design requirements; gather input and discuss technical requirements
• Provide technical guidance and guide team to execute design requirements
• Periodic inspection of works being carried out and check operations and execution for adherence with design drawings
• Participate / guide team to participate in weekly meetings with site team, provide information about engineering and design aspects and present progress on scheduled works

Compliance review and monitoring

• Review all designs for compliance with engineering principles and relevant design codes
• Review all drawings for adherence with CAD standards and Leighton’s operating procedures
• Guide team to file designs / drawings, maintain record of delivery and timesheets for development and delivery schedule
• Guide team to resolve instances of non-compliances

Job Requirements

• Civil Engineering Degree
• Total Work Experience: 8 years of experience preferably in buidling and Data Center industries.
• Knowledge of BIM requirement aspects of engineering and design
• Architectural Builders Works and Finishes experience
• Experiences in executing Design, Engineering, Architectual works on Data Center

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are looking for an AI Engineer to perform development and engineering work for the SEA-LION project under AI Singapore.

Duties & Responsibilities

• Develop data processing pipeline for multilingual dataset
• Develop data processing tools for multiple data sources (e.g. txt, pdf, html)
• Develop web scraping pipeline for targeted scraping of data sources
• Develop and train classifier for data quality filtering
• Perform literature review of academic machine learning papers
• Keep abreast of latest developments in NLP, AI and LLMs.

Qualifications

• Degree/Master in Computer Science, Machine Learning, AI, Statistics, Mathematics, Engineering or equivalent practical experience
• Familiar with NLP tasks and modern NLP models
• Familiar with text based data processing
• Familiar with EDA techniques for text data
• Fluent in Python, PyTorch, Hugging Face, AllenNLP and related nlp libraries
• Fluent in data processing and web scraping tools
• Previous experience with language modeling will be a plus
• Ability to write and communicate in English
• Candidates with no experience are welcome to apply

• Position: Warehouse Admin Assistant (Simple duties- Data entry)
• Location: Benoi Sector
• Working hours: 5 days’ work week, Monday to Friday, 8.30 am to 6.00 pm
• Salary (commensurate with experience): Up to $2500+ AWS
• Duration: Permanent
• Industry: Logistics – MNC

Main Responsibilities:

• Ensure that customers’ orders are processed promptly and accurately
• Ensure that records of warehouse transactions are recorded and filed accordingly
• Build relationship with customers to understand customers’ requirements and accurately process customers’ orders.
• Billing of services to Clients.
• Preparing of KPI statistics and reports for customers and internal use.
• Other Admin duties pertaining to warehouse operations.

Requirements:

• Minimum N level
• Minimum of 1 - 2 years’ experience in admin/logistics or warehousing coordination work

Email to [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Position Summary / Project Description

To ensure the IT operations planning and execution to meet the service levels agreements and audit compliance requirements.

Role and Responsibilities

• Manages the systems administration function and leads the organisation's system projects and environments.
• Focuses on setting goals and priorities and on mentoring and coordination as well as providing technical leadership.
• Plans and oversees systems upgrades and migrations and ensures systems are up-to-date with the latest patches and are coherent across the organisation.
• Directs the development and maintenance of technical documentation.
• Possesses strong leadership and communication abilities, and is able to set realistic goals and implement appropriate plans to guide the team toward achieving those goals.
• Address multi-faceted issues effectively and in a collaborative manner including across departments.

Govern IT processes and policies

• Establish goals and priorities, design, planning, day-to-day operation, maintenance, and advanced troubleshooting of systems
• Align system administration with overall strategic IT service direction and business needs
• Assist with the development of business case justifications and cost/benefit analyses for spending and initiatives
• Anticipate internal and/or external business challenges and/or regulatory issues
• Develop policies, procedures, and controls to ensure system security and compliance

Develop New Systems

• Partner with stakeholders to recommend innovative and automated approaches for system administration
  • Define systems requirements for new technology roadmap and implementations
• Plan and prepare for system expansion by studying plans and requirements
• Oversee the design, maintenance and implementation of the systems
• Prioritise tasks to ensure projects are implemented in accordance with project plans and budgets

Optimise Systems Performance and Continuous Improvement

• Recommend process, product or service improvements, resource optimisation and cost savings
• Oversee hardware and software upgrades
• Recommend new technologies, methodologies, systems or opportunities for cost savings, security and service quality improvement
• Optimise / Automate processes to achieve higher efficiency and more sustainable operations

Manage Teams

• Oversee team management including budgets, forecasting, work allocations and staffing
• Develop staff through ongoing coaching, mentoring and career discussions
• Define common goals, direction and accountability among staff
• Drive effective performance management practices within department in accordance with company policies and procedures

Requirements / Qualifications

• Degree in Computer Science, Computer Engineering
• Minimum 10-12 year working experience in system operations compliance and management areas.
• Highly-motivated self-starter wh will undertake all activities to the highest professional standards
• Must be cloud certified
• Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques
• Experience in managing a team in project implementation or support is a mus
• Certification in IT operation management is preferred
• Possess prior hands-on experience with technologies such as Informatica, IDMC, OBIEE, Tableau, .NET, MS-SQL database, Oracle Database, Databricks, ML Ops, Data Robot technologies.
• Good interpersonal skills with the ability to work with different groups of stakeholders
• Exposure to hospital information / clinical systems is an added advantage.

At Viddsee, we are building the leading storyteller platform for audiences, media partners, storytellers and brands; incubating talents & IPs, and furthering the potential of Asian stories.

As the Head of Media & Data for the region, you will be leading Viddsee’s regional expansion efforts into the Media Buying & Management space, with the primary goal of driving the acquisition of new Media-based business. You will report to the Vice President of Commercial, and have local Media Managers (SG, TH, PH, ID) reporting to you. Together, the Media & Data team will be required to grow our Media-based clientele, generate revenue and deliver a return on investment to the firm. This is an independent position but with precise KPIs to be reached.

Essential Duties and Responsibilities:

• Drive and direct the development of compelling Media campaign solutions including consumer and category insights, right selection of media channel, defining primary and secondary KPIs, budget allocation by channels backed by data and rational, across the region.
• Work closely with local Media Managers to create and sustain great client relationships and excellent delivery
• Briefing, guiding & supervising the Media & Data team (execution, reporting & ad-operations teams) on a day-to-day basis ensuring operational excellence on the account.
• Evolve use of measurement systems to provide greater insight into ROI of media plans and ensure the team deliver on agreed KPIs.
• Contribution to regional media & communications strategy development as needed.

Requirements and qualifications:

• At least 10 - 12 years of integrated media experience.
• Strong working experience in digital media planning and buying, offline media.
• Experience working in client relationship management, within a multi-market (SEA) environment.
• Proactive mindset, strong attention to detail, able to multitask and handle multiple projects at one time.
• Passionate about the media and communications industry and keen to stay on top of the ever-evolving media landscape.
• Leadership skills in building and leading operational excellence for the team.
• Excellent communication, negotiation, and presentation skills.
• Can do attitude and demonstration of determination and resilience to deliver targets and goals

Job Responsibilities

• Design and implement complex data pipelines and architectures for data ingestion, transformation, and distribution
• Ensure data quality, reliability, and availability across different data sources and platforms
• Provide L3 support for in-house development work and data platform/warehouse
• Perform data analysis and validation to ensure data accuracy and integrity
• Create and maintain data documentation and metadata
• Support data users and troubleshoot data issues

Job Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• At least 3 years of experience in data engineering or related roles
• Strong knowledge and experience with KDB+ will be a huge advantage
• Experience with relational databases, as well as working familiarity with a variety of databases
• Proficient in Python, SQL, and other scripting languages
• Experience with cloud platforms, such as AWS, Snowflake, or GCP
• Excellent communication, collaboration, and problem-solving skills

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Where you fit in

Shell’s global Trading and Supply business is one of the largest energy trading operations in the world with key hubs in Singapore, Dubai, Houston, London, and Rotterdam, trading in crude oil, natural gas, LNG, electrical power etc. Our business in Asia has set huge growth targets for the coming years with major focus on green and sustainable energy.

To accelerate our ambitious delivery goals and energy transition targets in Asia, our gas and power trading division in the region is looking for highly skilled and motivated Data Scientist with expertise in Generative AI and Machine Learning to join our dynamic team.

What’s the role?

We are looking for people with the ability to translate business problems into AI solutions. This requires that you have next to your knowledge of machine learning and/or statistics as well as a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.

The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning, GenAI) and has applied those skills in solving real world problems across different businesses / functions.

Your accountabilities will also include:

• Developing AI solutions to business challenges with business analysis
• Write clean and maintainable production-level code, knowledge on: Python, Databricks, GIT, SQL, Azure ML
• Enhance machine learning models on ad-hoc basis.
• Work closely with the users or Product Owner day-to-day to understand GenAI/ML/data requirements and propose effective solutions
• Work in a highly-collaborative, Agile and cross-functional environment including taking on data engineering responsibilities based on team needs
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience

What we need from you

To be successful in this role, we need someone who is an analytical problem solver, is excited about analytical models and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.

Furthermore, we hope to see the following:

• 1-2 years of track record in developing and deploying machine learning algorithms with proven business impact
• Experience with Generative AI and Large Language Models
• Expertise in languages and similar software such as Python, SQL, Azure ML and Databricks
• Story telling of Machine Learning models to business users
• Agile Delivery techniques (e.g. SCRUM), user stories, tools such as Azure DevOps
• Can explain software engineering best practice e.g. CI/CD, 12-factor, git branching strategies, test automation
• Experience in time series analysis / predictive modelling with low granularity time series data, preferably in a commodity or financial trading domain is an advantage

If you don’t see yourself reflected in the job requirements on the posting above, we still encourage you to reach out and apply. Shell is committed to creating a more diverse, equitable and inclusive workplace and we encourage individuals of all backgrounds to send in your applications.

Company Description

Shell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country’s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.

An innovative place to work

There’s never been a more exciting time to work at Shell.

Join us and you’ll be adding your talent and imagination to a business with the ambition to shape the future – whether by investing in oil, gas, and renewable energy to meet demand, exploring new ways to store energy, or developing technology that helps the world to use energy more efficiently, everyone at Shell does their part.

An inclusive place to work

To power progress, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.

• We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.
• We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
• We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

About the team:

The mission of Shopee Marketplace Intelligence and Data Department is to establish advanced large-scale data and intelligent products to promote the development of Shopee's e-commerce business. Our department is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product development, user full-path traffic data analysis, and applying advanced algorithms to improve product management efficiency, including listing upload system, listing management and control, product information standardization, and optimization. Building Standard Product Units and similar item ability for product comparison and enabling price comparison accordingly. Support involving new sellers, product selection, and product recommendation. Display optimized product reviews or high-quality reviews, and provide a review summary function for customers. To support the service ability above, all related researchers are welcomed, such as Natural Language Processing, Knowledge Graph, Computer Vision, Machine Translation, Speech Recognition, Identity Verification, etc.

The Listing Intelligence Team is dedicated to applying cutting-edge AI algorithms to understand large-scale product data and overcome multi-language challenges. Through massive product category prediction, large-scale product attribute mining, Standard Product Unit building, similar item matching, price comparison, and adversarial detection of prohibited products. The aim is to optimize merchants' and operators' working efficiency while improving consumers’ shopping experience.

Job Responsibilities:

• For e-commerce businesses and products, apply natural language processing-related algorithms in multi-language situations, such as but not limited to: generative models, multi-modal models, information extraction, text classification, etc.
• Through the natural language processing algorithm model, it supports product release, product optimization and management, standard product unit (SPU) library construction, identical product recognition, price comparison, and other business applications, thereby improving product conversion efficiency and platform operation efficiency.
• Explore cutting-edge technologies related to natural language processing algorithms and introduce them into existing systems to improve technical indicators.
• Lead the design of solutions and manage projects collaboratively with a team.

Job Requirements:

• Bachelor's degree or above in computer science, artificial intelligence, or related disciplines.
• More than 3 years of experience in NLP or knowledge graph-related projects.
• Excellent programming skills.

Job Summary:

Head of Data Analytics will play a crucial role in analyzing and interpreting e-commerce data to provide actionable insights that drive strategic business decisions. This role involves working closely with cross-functional teams and engaging with clients to understand business needs, market trends, and competitive dynamics within the APAC region. The ideal candidate will have strong analytical skills, a passion for data-driven decision-making, and a deep understanding of the APAC e-commerce market.

Key Responsibilities:

1. Data Analysis and Interpretation:

• Analyze complex e-commerce data sets to identify trends, patterns, and insights.

• Utilize advanced analytical tools and techniques to provide data-driven recommendations.

• Translate data into compelling stories and actionable insights for stakeholders and clients.

2. Market Research and Competitive Analysis:

• Conduct market research to understand customer needs, preferences, and behavior.

• Benchmark company performance against industry standards and competitors.

• Stay informed about market trends, emerging technologies, and customer preferences.

3. Insights Development:

• Collaborate with cross-functional teams to support product development, and solution roadmap.

• Create detailed reports and presentations that communicate findings and recommendations to clients.

4. Client Engagement:

• Build and maintain strong relationships with key clients to understand their needs and ensure insights align with their business goals.

• Present insights and recommendations to clients, addressing their specific challenges and opportunities.

• Act as a point of contact for client queries related to customer insights, ensuring a high level of client satisfaction.

5. Stakeholder Collaboration:

• Work closely with marketing, product, and sales teams to ensure insights are integrated into business processes.

• Provide support and guidance on customer insights to drive strategic initiatives.

• Continuously evaluate and improve insights processes to enhance effectiveness and efficiency

Qualifications:

• Deep understanding of the APAC e-commerce market and cultural nuances.

• At least 5 years of relevant experience in customer insights, market research, or data analytics, preferably within the APAC region.

• Strong analytical skills with proficiency in data analysis tools and methods.

• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences and clients.

• Proven ability to work collaboratively in a cross-functional team environment.

• Experience in client engagement and relationship management.

• Ability to manage multiple projects and priorities in a fast-paced environment.

WHAT YOU'LL DO

As a data-driven solutions team we are looking for a senior data engineer that helps us design, build and operate our data pipelines and data storage aspects of our solutions. We are looking for colleagues that are self-driven and don’t shy away from trying new unconventional methods to build new state-of-the-art solutions that bring data to where we need it. Daily tasks include :

• Data pipeline design, data extraction, data quality assurance, data transformation and data pipeline automation.
• You will need to focus on enterprise grade delivery of data pipelines in a compliant way touching data privacy, data protection, anonymization, and compliant software development practices.

WHAT YOU'LL BRING

We are looking for a candidate who possesses a passion for innovation and data-driven solutions paired with a hands-on can-do attitude. The ideal candidate will be a self-motivated expert with a love for delivering quality data sets and coach junior data engineers.

Ideal candidates have the following experience/skills.

• University degree in a technical field
• Practical data processing skills especially with unstructured text.
• UNIX/LINUX Operating system savvy
• Solid foundation in computer science
• Applied knowledge in Python & Spark
• Experience building and optimizing big data pipelines.
• Creative thinking, willingness, and ability to learn new concepts and technologies.
• Fluent in English

MEET YOUR TEAM

We are a Data Science and Technology focused team and we have established a data lake platform used by more than 150 Data Scientist in Service and Support. The team’s mission is to improve, automate, and transform the customer support business of SAP using Machine Learning and Data-driven Innovation.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

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Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are seeking a part time staff who can assist in data creation, evaluating the collected data’s reliability, validity, and accuracy and improving the data quality.

Duties & Responsibilities

• Assisting with translation and data creation in Burmese language so proficiency in Burmese is a must.
• Evaluating the collected data’s reliability, validity and accuracy
• Verifying data by cross-checking with other sources
• Making recommendations for improving data quality

Qualifications

• Proficiency in Burmese as well as knowledge in Burmese culture due to usage of Burmese language for data collection and creation.
• Able to commit to the project for 6 months
• A Bachelor’s degree in any discipline

• Position : Sales Operations Analyst (Japanese Speaking/Data Analyst) – Up to $5,000
• Location : North-East – Macpherson
• Working hours : Monday to Friday | 9am to 6pm
• Salary (commensurate with experience) : Basic up to $5,000 + $200 Transport Allowance + Variable Bonus (Paid out every half a year) + Up to 19 days of Annual Leaves + Medical Benefits
• Duration : Permanent
• Industry : Semiconductor/Trading

Main Responsibilities:

• Collect, analyse, and interpret supply chain data to identify trends, issues, and opportunities.
• Develop and maintain comprehensive reports and dashboards to monitor supply chain
• performance.
• Implement best practices and innovative solutions to streamline supply chain operations and
• enhance efficiency.
• Collaborate with cross-functional teams to ensure seamless integration of supply chain
• processes.
• Develop accurate demand forecasts, and monitor forecasts based on market trends, sales
• data, and other relevant factors.
• Support development and review of monthly production plans to suppliers.
• Optimize inventory levels and develop inventory management strategies to minimize stockouts
• and excess inventory.
• Any other ad hoc duties as required.

Requirements:

• Minimum of Diploma with at least 2-3 years of working experience in Semiconductors, Trading or Distributors
• Able to speak Japanese
• Experience as a Data Analyst or similar role, preferably in an inventory planning or supply chain environment.
• Understanding of inventory management principles and supply chain dynamics.
• Willing to travel overseas to meet customers or suppliers when necessary
• Bilingual in English and Mandarin to communicate with Associates who can only converse in Mandarin

Email to: [email protected]

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Chloe Ong

Senior Consulting Manager (APAC)

Reg no.: R22105510

EA No: 13C6684

The incumbent will be part of a Programme Evaluation (PE) team who drives programme evaluation efforts across MOH-Family. He/She uses statistical techniques to evaluate programmes/policies or conduct developmental analytics to improve implementation, and derives insights from administrative databases, surveys, and public information to support policy decisions. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analyses.

Roles & Responsibilities

• Develop and implement the MOH-Family Programme Evaluation Framework
• Develop and implement a systematic structure of Programme Evaluation framework which can be consistently applied to various health programmes and other expenditure types
• Provide training for MOH divisions to conduct programme evaluations
• Drive programme evaluation efforts across MOH-Family
• Build programme monitoring and evaluation capabilities among MOH officers
• Plan resources that are needed to conduct various programme evaluations
• Centralise programme evaluation functions across all MOH divisions
• Plan, undertake, and communicate evaluations of MOH-family programmes and policies
• Work with policy divisions and stakeholders to design and evaluate health programmes using the most suitable methods (qualitative/quantitative studies, experimental/quasi-experimental designs)
• Conduct pre-, during-, and post-implementation monitoring and evaluation of major healthcare programmes for process, outcome, and economic evaluations, and impact assessment
• Interpret and communicate findings in light of policy decisions/context
• Develop action plans to drive process improvement, refine programme delivery, and provide evidence for decision-making to achieve the programme’s intended outcomes
• Work with stakeholders and use evaluation results to drive process improvement and decision-making

Requirements

• Graduate/Postgraduate degree in a quantitative discipline: Health Services Research, Economics, Health Economics, Statistics/Biostatistics/Bioinformatics, Mathematics, Data Science, Business Analytics, Public Health, Public Policy, or related qualifications, or relevant work experience
• 2+ years relevant working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government, or IT sectors
• Possess a wide range of analytical skills and evaluation methods. Familiarity with both qualitative and quantitative study designs will be an advantage
• Good stakeholder engagement, communication, and presentation skills
• Able to work independently in a fast-paced working environment, and effective as a team player