Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 6,800 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

Cheil is expanding and we are inviting candidates to join our new and growing Data-Driven Marketing Solutions team. Reporting to the Digital strategy director, We are seeking a talented and experienced Data Analyst to join our team and play a pivotal role in analyzing and optimizing the performance of Samsung.com, one of our key clients. The ideal candidate will have a strong background in data analysis, with expertise in Adobe Analytics and a passion for leveraging data-driven insights to drive strategic decision-making:

Data Analyst

Responsibilities:

· Utilize Adobe Analytics to track, measure, and analyze key performance metrics for Website and Application, including but not limited to traffic, user behavior, conversion rates, and campaign performance.

· Use additional analytics tool like GA4 or Appsflyer to track the specific performance of Application

· Conduct an analytics tagging audit by using the relevant debugging solution to validate if all events and visits are properly tracked by Adobe Analytics

· Develop and maintain dashboards and reports to provide actionable insights and recommendations to internal stakeholders and the client.

· Conduct in-depth analysis to identify trends, patterns, and opportunities for optimization, with a focus on improving user experience, conversion rates, and overall site performance.

· Collaborate with cross-functional teams including digital marketing, web development, and client services to implement data-driven solutions and drive continuous improvement.

· Automate a manual analytics process by using the advanced excel formula, and programming languages like Python and SQL if possible

· Stay abreast of industry trends, best practices, and emerging technologies in web analytics and digital marketing to inform strategic recommendations and enhance performance

Requirements:

· Minimum 5+ years’ experience in a full set of Adobe Analytics and other web analytics tools.

· Proven experience in data analysis, preferably in a digital marketing or e-commerce environment.

· Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.

· Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

· Detail-oriented with a focus on accuracy and quality of work.

· Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Preferred qualifications:

· Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

· Leading experience for analytics teams before

· Experience with SQL, Python, or other programming languages for data analysis.

· Knowledge of digital marketing concepts and strategies.

· Experience working with e-commerce platforms such as Shopify, Magento, or WooCommerce.

· Certification in Adobe Analytics or related field.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage

Responsibilities:

• Define strategy and implement the plan to coordinate and aggregate demand across all Public Healthcare Institution (PHI) through internal and external forums.
• Scan industry and landscape for promising new areas in AI solutions based on MOH’s defined strategic objectives & thematic areas
• Engage users on new tech & pilot explorations, and manage the pilot lifecycle.
• Work with multiple stakeholders to identify, scope and support the implementation of POC, POV, pilot innovation projects, and manage and track life-cycle of innovation projects at each of the Explore, MVP, POC, POV and Scaling stage.
• Share knowledge and information on use cases and work with the funding agencies to identify and evaluate collaborators/providers that offer potential solutions that best suit the needs of users.
• Coordinate and communicate with the funding agencies (if applicable) whose investment and grant objectives are relevant to the potential solution at the POC or MVP stages.
• Participate as internal review and/or evaluation panelists during the screening and selection process as deemed appropriate by department/division.
• Manage AI and tech programmes, track and report to senior management / programme office and retain engagement with the stakeholders throughout the innovation life cycle.

Requirements / Qualifications

• Preferably 10 years’ experience and have hands-on experience in project management, client management of medium to large-scale projects, including innovation projects.
• Strong interpersonal skills with the ability to work with different groups of stakeholders.
• Possess leadership qualities.
• Experience in the healthcare industry or experience in developing different types of incubation programs for startups would also be an added advantage.
• Degree in Computer Science, Computer Engineering, Data Science or equivalent.

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are seeking a well-rounded data engineer to join our team. As part of the Global Post Market Quality and Data Analytics team, you will play an integral role in processing consumer feedback through data quality assurance, data modelling, data integration and automation. Under a diverse team, you will have a plethora of opportunities to work cross-culturally and cross-functionally to streamline data processes.

What you will do

• Build and maintain data pipelines for efficient data movement. Use ETL processes to extract and store data from various sources and transform it into a clean and usable format.
• Develop and implement data models to support business intelligence, reporting and analytics requirements.
• Integrate data from different sources (internal/external) to provide a unified and comprehensive view of the data.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data. Identify and address data quality issues.
• Write scripts and use automation tools to streamline data processes and workflows.
• Collaborate with stakeholders within and outside of the team to understand data needs and streamline data.

What you bring

Experience

• Bachelor's degree in Data science, Computer Engineering, Computing, IT or any other related field.
• 3+ years of relevant working experience in data roles.
• SQL, Power BI and Advanced Excel knowledge required. Proficiency in other programming languages is a plus.
• Familiarity with integrating data sets from various systems, identifying gaps and presenting visualized data using Power BI.
• Able to handle structured data from various sources and formats (e.g.: from customers and operations), such as complaints and returns.
• Basic knowledge in quality processes (medical device industry) is a plus.

Personal competencies

• Great team player and good communicator. Able to break down complex concepts in a simple and clear manner.
• Responsible with a good sense of urgency.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Job title: Operations Admin / Operations Safety Coordinator (Entry levels are encouraged to apply)

Report to: Safety Manager / Operations Manager

Key Responsibilities:

• Assist in the development, implementation, and maintenance of safety policies and procedures.
• Assist in operational matters.
• Assist in regular safety inspections and audits to identify potential hazards.
• Maintain accurate records of safety incidents, near misses, and corrective actions taken.
• Collaborate with department managers to address safety concerns and implement corrective measures.
• Assist in the preparation and submission of safety reports to regulatory agencies as required.
• Provide administrative support, including scheduling meetings, preparing documents, and managing correspondence related to safety initiatives.
• Assist in the procurement and maintenance of safety equipment and supplies.

Qualifications:

• Diploma/Degree in business administration or equivalents.
• Proven experience in a similar role.
• Ability to prioritize tasks effectively.
• Strong attention to detail and accuracy in record-keeping.
• Excellent communication skills, both verbal and written.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

Benefits:

• Competitive salary commensurate with experience.
• Opportunities for professional development and advancement within the organization.

How to Apply:

If you are passionate about safety/operations/administrative, we encourage you to apply by submitting your resume to [[email protected]].

Responsibilities:

• Install and configure equipment on data center racks (servers, switches, routers, firewalls).
• Replace components in existing hardware (mainboards, CPUs, RAM, HDDs/SSDs, network modules, transceivers, cables).
• Conduct patching of fiber optics and Ethernet cables, ensuring accurate connections.
• Maintain tidy cable management for efficiency.
• Prepare servers for operation (OS installation, network/firewall config, application installation).
• Perform operational and maintenance tasks (cable tests, equipment power cycling, console interface setup for remote access).
• Troubleshoot issues (ping/traceroute, hardware tests, generate logs for vendor escalation).
• Manage inventory and ensure proper asset tracking.
• Enforce data center processes, access control, and compliance with rules and regulations.
• Escort external vendors to ensure premises security.

Requirements:

• Min Nitec in Computer Science, Information Technology or related disciplines
• Candidate with no experience is welcome to apply, training will be provided
• Proficient in equipment installation and troubleshooting.
• Strong knowledge of data center operations.
• Excellent organizational and communication skills.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

Job responsibilities:

• Monitor various monitoring facilities for software and hardware.
• Monitor application job flow which are scheduled by job scheduling software, and react to exceptions in accordance to Standard Operating Procedures
• Perform reports printing and distribution
• Manage IT-related incidents and problems reported via phone call or e-mail from staff
• Maintain Incident Logs for incidents and problems for all software, hardware and applications being monitoring
• Perform job submission, backup, recovery and restart in accordance to SOP or approved ad-hoc requests
• Perform first-level system and batch problem determination and resolution only, and escalation to second and third levels in accordance to Standard Operating Procedure.

Key Requirements

• Minimum Degree in IT or Computer Science from a recognized polytechnic/institution
• Minimum 2 years of working experience in relevant work area
  Experience in operating at least 3 of these platforms: AS400, Mainframe, Unix/Linux and Windows
• Proficient in using MS Office Suite of products
• Proficiency in Excel macros, pivot tables and charting is a plus.
• Good communication and interpersonal skills and proficient in English Language
• Proven ability to work independently and under pressure
• A good team player.
  

The Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STR) is seeking outstanding faculties in clinical data science research.

The Bioinformatics Institute (BII) is a computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR. Our scientists aim to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support discovery from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and also from in-house efforts. The institute has a vibrant and diverse research portfolio that includes infectious diseases, computational toxicology, precision medicine, oncology and drug discovery.

Watch the videos of BII Scientific Conference 2022 to know more about the research by different groups in BII.

https://www.youtube.com/playlist?list=PLcenRySmzqv76JVbdzg3z5kndDHN3FzBk

Job scope and responsibilities:

1. Heading a laboratory specializing in either one of the following:

a. Quantum Computing for biomedical applications

b. Clinical data hub and clinical data analysis

c. AI and generative models in healthcare applications (e.g. synthetic data)

d. AI in drug discovery

2. Collaborate closely with clinicians and with faculties within the Bioinformatics Institute and within the local ecosystem.

3. Collaborate with industrial partners to translate technologies into the clinics.

4. Lead or participate in research grant proposals (~SGD5million to SGD15million quantum).

Requirements:

· Outstanding research outcomes with strong publication records

· Excellent communication (oral and written) and public speaking skills

· Strong records of strategic thinking ability

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

PRODUCT AREA

The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products.

JOB DESCRIPTION

****Use this template only when existing Job Description options don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview.****

ADDITIONAL JOB DESCRIPTION

In this role, you will be part of the Sellside Global Scaled Solutions team, which supports the publishers and helps drive accelerated business growth for them through our publisher business generation and platform solutions. The Global Partnerships Sales Engine (GPSE) team is a critical part of driving operational efficiency and scale in support of our publisher business generation and platform solutions. The GPSE team centralizes work away from sales teams so that business leaders can concentrate their efforts on client-specific activities.

As a data analyst on the GPSE team, you will have the opportunity to work with an extensive range of cross-functional teams on the Global Partnerships side of the business, to further evolve and scale GPSE support. You will also be managing the contracting and billing functions for GPSE.

Qualifications

JOB RESPONSIBILITIES

• Support Sales users via optimization, reporting and troubleshooting support.
• Maintain high service levels through meeting or exceeding CSAT, timeliness and efficiency goals.
• Support implementation and optimization for Google’s Programmatic business generation and Platform solutions.
• Provide consult and technical support to a global vendor team.
• Contribute proactively to the analysis and optimization of processes, internal tools and product to drive efficiency and scale.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in analysis, operations, project management, or a similar role.
• Experience using SQL.

PREFERRED QUALIFICATIONS

• Experience using business generation or Ad serving solutions (e.g., Google Ad Manager, AdMob, DV360).
• Experience in streamlining operational processes (e.g., automation).
• Understanding of online advertising solutions (e.g., Ad serving, business generation) and key platforms and trends (e.g., desktop, mobile, video).
• Ability to operate in a changing industry and work well with a team.

Job Description:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

• Excellent practical understanding of machine learning techniques and algorithms
• Should have expertise in Graph analytics
• Good applied statistics skills, such as distributions, statistical testing, regression, etc
• Expertise in domain like AML and Compliance
• Experience with common data science toolkits
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Would be able to conceptualize requirement, Selecting features, building and optimizing models using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Hands-on experience on Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of performance of models
• Should have great communication skills
• Having experience working in a banking and compliance domain will be added advantage.

Job Description:

We are seeking a skilled and proactive Data Analyst to join our team. In this role, you will play a crucial part in supporting our business development decisions through data analysis and insights. Your responsibilities will include monitoring key indicators, identifying potential issues, and collaborating with various business units to provide data analysis services.

Responsibilities:

• Understand the consumer finance business thoroughly and provide data analysis and insights to the team, aiding in decision-making for business development.
• Monitor and track key indicators of the consumer finance business consistently, analyzing any unusual fluctuations and identifying potential issues.
• Foster effective communication channels with business units and offer data analysis services.
• Contribute to the design and enhancement of risk control platforms, and actively participate in the establishment, deployment, and monitoring of credit models and anti-fraud rules.
• Engage in data mining and various modeling tasks, including feature extraction, integrated algorithms (e.g., GBDT, XGBoost), neural networks, and facilitate the implementation and application of data mining and modeling techniques in the consumer finance business.

Requirements:

• Bachelor's degree or higher in Mathematics, Physics, Statistics, Computer Science, or a related field in College of Science (COS).
• More than 1 year of experience in data analysis and the consumer finance industry, with a strong understanding of consumer finance risk control strategies.
• Solid foundation in mathematics and computer science, with a proactive attitude toward self-learning and research.
• Proficiency in data analysis, including strong analytical skills.
• Proficient in working with databases, such as MYSQL, Oracle, MongoDB, Hive, etc., including knowledge of database operations.
• Proficiency in at least one data analysis tool, such as SAS, R, SPSS, etc.
• Proficiency in one or several programming languages, such as Python.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

• In the Demand Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. We are responsible for building ML models and serving them in production to support Grab’s Advertising and Marketing services.
• Our primary goals are to help consumers discover the most attractive product, to enable the most efficient marketing campaigns for our merchants/advertisers to meet their business goals, and to build a sustainable business on our platform.
• We apply machine learning, forecasting, recommendation and optimisation techniques to huge datasets in order to model how our consumers interact on our platform under different marketing strategies. We also continuously run large-scale live experiments to improve on our implementations.

Get to know the Role

Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our customers on our platform across multiple business verticals (eg, Food, Mart, Transport, etc) regionally

The Day-to-Day Activities

• Implement, validate, test, and deploy data science solutions to address particular business use cases, Scope of work includes, but is not limited to, customer segmentation, customer LTV, recommendation, conversion rate prediction, rank & re-rank, demand forecasting, campaign targeting and optimisation, etc.
• Continues improvement through iterative model enhancement and A/B testing.
• Collaborate with other data scientists, software engineers, and business operation teams to deliver business solutions.

The Must-Haves

• Master's Degree graduate in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field.
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization.
• Proven track record of fast learning of new data science and ML/AI technologies.
• Experience with machine learning framework (scikit-learn, Spark MLlib, Tensorflow, pytorch, etc)
• Proficient in one or more of the following programming languages: Python, Scala.
• Self-motivated, independent learner, and willing to share knowledge with team members.
• Detail-oriented and efficient time manage in a dynamic working environment.

The Nice-to-Haves

• Experience with building recommender systems, customer segmentations, campaign targeting, Ads bidding, campaign optimisation and etc.
• Experience with algorithm and model development for large scale applications.
• Hands-on experience with one or more big data processing frameworks such as Spark.
• Experience with applying CI/CD principles to data science projects.
• Experience with real-time data processing technologies such as Flink, Kafka, etc.

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

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 National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Minimum total three years’ work experience
• At least a Bachelor’s degree

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

The Fulfillment tech family is one of the pillars enabling Grab to out-serve our consumers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use sophisticated machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill consumer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and consumers.

Grab is Southeast Asia’s leading super-app. We provide everyday services such as deliveries, mobility, financial services, enterprise services and others to millions of users across the region. At the fulfillment machine engineering team, we are trying to solve challenging problems in the marketplace that involve dynamic pricing, supply and demand management. We are looking for senior machine learning engineers to join the team to help us make that vision a reality by developing and refining cutting-edge reinforcement learning models and simulation platforms.

Get to know the Role

This is a hands-on role involving building large-scale simulation platforms and reinforcement algorithms. You will have the opportunity to build a digital twin of Grab’s marketplace that consists of tens of thousands of consumers, drivers and merchants. Furthermore, you will have the opportunity to develop reinforcement learning, optimization and control models to solve business problems inside Grab’s marketplace and deploy them at scale.

The ideal candidate will have solid understanding of software development life-cycle and engineering practices, experience developing production ML systems, experience working on a range of regression/classification and optimization problems, experience applying reinforcement learning (or control theory), experience working with real-time streaming data.

The Day-to-Day Activities

• Architect and develop our simulation platform to simulate the response from the real marketplace that involves different types of services that Grab is providing
• Collaborate with product analysts, managers and business teams to define, prototype and build simulation SDKs to facilitate users to run simulations under different scenarios
• Architect and develop reinforcement learning frameworks to train and run reinforcement learning algorithms at scale, provide efficient optimization solutions to challenging business problems such as pricing, demand and supply management.
• Collaborate with data science and economists teams to solve difficult causality and behavior modeling problems for building more efficient simulation and reinforcement learning algorithms
• Engage in service capacity and demand planning, software performance analysis, costing, tuning and optimization.
• Participate in code and design reviews to maintain our high development standards.
  
  The Must-Haves
• A degree in computer science, software engineering, information technology or related fields
• 5+ years of experience in one or more of the following areas: general machine learning, deep learning, reinforcement learning (control)
• Solid understanding of engineering practices and design patterns, experience in writing readable, maintainable and testable code
• Familiarity working with VCS such as git, git-flow, understanding of full software development life-cycle
• Experience turning business problems into ML/AI-projects
• Experience with any ML framework, such as TensorFlow or PyTorch
• Proficiency in Python
• Experience in any of Scala/Java/Golang/C++
• Experience with any big data framework, such as Spark, Ray familiar with the concept of processing events in real-time
  

The Nice to Have

• A Masters or PhD in computer science, machine learning or related fields
• Experience working with streaming data using Apache Flink, Apache Spark
• Experience developing production quality ML Pipelines
• Experience with MLFlow, TensorFlow probability, TensorFlow agents, Ray RLLib
• Experience with distributed systems and cloud services (AWS, GCP, AZURE)
• Experience applying reinforcement learning for solving real-world problems (robotics, finances, etc.).
• Understanding of probabilistic modeling and differential programming, ability to design/build probabilistic simulators
• Contributions to open source projects

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

• Food Manufacturer
• Basic $2500
• 5 days (Office Hours)
• Location: Pandan Loop

Responsibilities (Entry Level):

• Performs day-to-day broad range of HR activities including recruitment from on-boarding to off-boarding, leave administration, payroll, benefit & training administration.
• Handle NSmen make-up claim, paternity, maternity, childcare leave, medical & insurance claims.
• Administer work pass applications, cancellation and renewal.
• Administration of training related matters.
• Maintain accurate HR database and up-to-date employee records.
• Ensure up to date maintenance of all training procedures and records in accordance to ISO requirement and government legislation.
• Generates and maintain regular HR reports as required.
• Perform other ad-hoc projects or duties when required.

Requirements:

• Preferably with Diploma in Human Resource or Business.
• With experience in HR process will be added advantage.
• Open to candidates with no experience as well.
• Well verse in Microsoft office (Words, Excel and PowerPoint)

For consideration, kindly submit your CV by clicking “APPLY Now.”

**Only shortlisted candidate would be notified**

EA Reg. No: R1873990 | Lucky Lee Ding Cong

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

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

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 National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

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 National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

We are looking for an experienced and motivated Data Engineer.

As a Data Engineer at Mighty Bear Games, you will play a crucial role in shaping our data analytics platform. Your expertise will drive the development, maintenance, and optimization of data pipelines, and you’ll work closely with cross-functional teams to transform data into actionable insights that propel our games to new heights.

We are an equal opportunity employer. We celebrate diversity and welcome applications from candidates from all walks of life and are committed to creating an inclusive environment for all Bears.

Your Responsibilities Will Include

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Research opportunities for data acquisition and new uses for existing data.
• Develop data set processes for data modeling, mining, and production.
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with data architects, modelers, and IT team members on project goals.
• work closely with product owners and being able design architecture that will support analytics solutions for the long term

As a Successful Candidate, You Would Have

• Proven experience as a Data Engineer, Software Developer, or similar role.
• Expertise in data modeling, ETL development, and data warehousing.
• Experience with SQL and NoSQL databases, including Postgres and Cassandra.
• Proficiency in scripting languages such as Python or Ruby.
• Knowledge of big data tools like Bigquery, Looker, Hadoop, Spark, Kafka, etc.
• 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.
• Creative problem-solving skills and excellent communication.
• Passion for gaming and understanding of the gaming landscape.
• A genuine interest in games and/or web3 and experience working in relevant creative industries.

As a Bonus, You Would

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

If you want to be part of a team committed to transparency and openness, then Bear Force One is the place for you!

We are always on the lookout for interesting people - even if your profile doesn’t meet the requirements fully, we'd love to hear from you!

Whether you’re new to the industry or have several years of experience, here are some pointers on things we look for at Bear Force One: http://bit.ly/MBG-HowToLandYourDreamGamesJob and when you’re ready, just click to apply!

We are seeking talents who are motivated and analytical to join our team as a Data Analyst Intern. We are working on an enterprise level ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Carry out machine learning projects in data training and inference.

• Collate and manage project results for follow-on projects development.

• Review ML and algorithmic models from technical journals. Provide pros/cons analysis to shortlist for feasibility testing.

• Perform data analytics on datasets for preparation and data insights for ML tuning.

Requirement

• Currently pursuing a bachelor's or post-graduate degree in a relevant field, such as Data Science, Physics, Statistics, Mathematics, or Computer Science.

• Strong analytical and problem-solving skills.

• Competent in Python data analysis, ML tools etc.

• Familiar with various ML framework and algorithmic programming methods would be advantages.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

• Actual Renumeration depends on experience.