Total 558 data entry job vacancies in d19 serangoon garden hougang sengkang punggol

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.

Job Summary:

Salary package: Basic $2800 - $3200 + VB

Working hours: Mon to Fri 9am - 6pm
Working location : Kallang

Job Responsibilities:

- Handling incoming sales calls, emails and leads. Sourcing new leads from Tender Portals.

- Creating, compiling, and submitting tender documents.

- Assisting in preparing quotations and proposals for sales team.

- Providing all necessary administrative support, including the preparation of maintenance contract renewal notices and services sales reports to track renewals.

- Providing administrative support to the Marketing Team, with a primary focus on sales-related activities.

- Assisting in the development of marketing materials and projects/events related to marketing.

- Supporting the Head of Operations and MD in all other administrative matters.

- Assist to match supplier invoices with the necessary documents and key into the system Other ad-hoc duties as assigned.

Requirements:

- Minimum Diploma in any discipline or A Level
- New entry welcome or min 1 year of working experience or max 3 years working experience entry welcome Knowledge of MS Office, Teams

- Able to work independently

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

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

Applications are requested for Research Engineer position on climate change, risk assessment of compound droughts and floods using the latest AI techniques and complex network theory under the supervision of Prof. He Xiaogang, Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

Job Requirements

• At least a bachelor degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
• Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
• Ability to construct and write papers for leading research journals and conferences.
• Good written and spoken communication.
• Open to fixed-term contract.

Role Purpose

In addition to applying advanced statistical and machine learning techniques, the Data Scientist takes on additional responsibilities related to team leadership and technology focus. This role requires strong technical expertise and the ability to guide and mentor a team of data scientists.

How will you contribute to the success of DHL?

• Collaborate with stakeholders to define data science strategies, objectives, and priorities.
• Drive the development and deployment of complex predictive models and machine learning algorithms.
• Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
• Accountable (owns) the completeness and accuracy of the Analytics Requirements.
• Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
• Able to manage multiple deployments concurrently.
• Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
• Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
• Communicate data science initiatives and results to senior management and other relevant stakeholders.
• Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.

Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
• Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
• Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
• Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScript-based visualizations.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
• Excellent communication and presentation skills (English), including translating technical concepts for non-technical stakeholders.

Responsibilities:

• Design, construct, install, test and maintain highly scalable data platform in SAP and non-SAP environments.
• Ensure systems meet business requirements and industry practices, particularly in the food and beverage retail sector.
• Analyze business requirements and create conceptual, logical, and physical data models.
• Design database tables, columns, and relationships, and document data flow and dependencies.
• Build high-performance algorithms, prototypes, models and proof of concepts.
• Develop data set processes for data modeling, mining and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Research opportunities for data acquisition and new uses for existing data in the retail industry.
• Create custom software components and analytics applications.
• Collaborate with other IT team members on project goals.
• Work closely with the Data Lead / Architect to implement data strategies and ensure compliance with industry practices.

Requirements:

• Experience with ETL tools like SAP Data Services, SAP BW data extraction, SLT
• Understanding of data modeling principles and best practices, preferably in an SAP environment like SAC data modelling, S/4 Hana Embedded Analytics, Hana data modelling, BW and/or DWC/Datasphere
• Strong SQL skills, esp on MS SQL server environment, for querying and managing data.
• Experience with data visualization tools like SAP Analytics Cloud or BOBJ.
• Experience with cloud services like AWS, Google Cloud, Microsoft Azure, etc. SAP BTP will be an advantage.
• Experience in programming in SAP or non-SAP environments is an advantage.
• Understanding in SAP ERP or S/4 Hana is a plus.
• Understanding in ML or GenAI is a plus.
• Good command of Chinese Mandarin in speaking and writing is essential as you will be required to liaise with Chinese stakeholders.

Personal Attributes:

• Analytical Skills: Ability to make sense of complex data sets and convert them into actionable insights.
• Problem-Solving Skills: Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and resources.
• Attention to Detail: Precision and attention to detail in data analysis and coding is crucial to avoid errors and ensure the accuracy of the results.
• Communication Skills: Ability to clearly and fluently translate technical findings to a non-technical team, such as the Marketing or Sales departments.
• Teamwork: Ability to work effectively in teams, respecting ideas from team members, and taking on a variety of roles as needed.
• Continuous Learner: Technology is always evolving and it’s important to stay up-to-date with the latest trends and technologies in data engineering and analytics.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As a Data Center Technician, you will deploy and maintain Google's Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, you will ensure our goals, missions, and projects are delivered across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with data centers, networking, communication, hardware, technical troubleshooting, operating systems, teamwork, scripting, and Python.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Key Responsibilities:

• Data Analysis & Modeling: Apply advanced statistical techniques and machine learning algorithms to analyze large datasets, identifying trends, anomalies, and opportunities for improvement.
• Predictive Analytics: Develop and implement predictive models to forecast viewer preferences, subscription churn, and content performance, contributing to strategic planning and decision making.
• Recommendation Algorithms: Enhance and refine our content recommendation engine to personalize user experiences, increase viewer engagement, and maximize content consumption.
• A/B Testing: Design and execute A/B tests to evaluate the impact of changes in our platform, analyzing results to inform product development and content strategies.
• Collaboration: Work closely with product managers, engineers, and marketing teams to integrate data-driven insights into product features, marketing campaigns, and strategic initiatives.
• Data Visualization: Create compelling visualizations and dashboards to communicate findings and recommendations to stakeholders across the organization.
• Research & Development: Stay abreast of the latest developments in data science, machine learning, and artificial intelligence, exploring new technologies and methodologies to drive innovation.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience in a data science role, preferably within the tech or entertainment industry.
• Proficiency in data manipulation and analysis using Python, R, SaS, or similar programming languages.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling.
• Strong knowledge of SQL and preferable experience with big data technologies (e.g., Hadoop, Spark).
• Experience in developing and deploying recommendation systems, predictive models, and conducting A/B tests.
• Excellent data visualization skills and experience with tools such as Tableau, Power BI, or similar.

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I regret to share that only shortlisted candidates will be notified. www.dadaconsultants.com EA Registration Number: R22108564 Data provided is for recruitment purposes only Business Registration Number: 201735941W. Licence Number: 18S9037

What the role is

Analyst - Principal Analyst (Data Systems and Technology)

What you will be working on

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance EMA's core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:
Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector;
Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms;
Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance EMA's core work and strategic goals; and
Planning and driving data analytics, management and digitalisation initiatives across EMA.

What we are looking for

- Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content.
- Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
- Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
- Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
- Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.
- Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
- Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
- Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
- Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.

All new appointments will be offered on contract basis. Your remuneration and appointment will commensurate accordingly with the relevant qualifications and work experience.

Interested candidates, please apply online with your detailed resume and copies of your transcripts at

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html?search-keyword=energy%20market%20authority#/JobDescription/14374452/a94bccfb-172f-1ede-b490-5d655bb6d26c

Incomplete applications will not be considered.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance, and investments in the region.

Get to know our Team:

• GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
• We care about deeply understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
• We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization

Get to know the Role:

• Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
• Leverage data for further insights to launch and improve goods and services on GrabPay wallet and scale it to multiple financial services.
• Champion data-driven decision-making and culture in Grab Financial Group
• Partner with Product Managers, Business Owners, UX Designers, and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
• Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems

The day-to-day activities:

• Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
• Mine clickstream and transactional data to drive GFG product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc.
• Implement, own and manage all instrumentation for all feature releases within the assigned tech families within GFG
• Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
• Successfully provide reliable and on-time deliverables to meet individual stakeholder needs
• Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

Qualifications

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
• 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet or E-Commerce company with large, complex, high-velocity data
• Advanced SQL writing skills and experience in querying large relational databases
• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.
• Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment
• Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / D3.js, etc.,
• Experience with designing, running, and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.
• We’ve got many different benefits hyper localised in each country.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.

Johnson & Johnson Innovative Medicine (JJIM), formerly Janssen, is driven by dedication to product innovation, customer focus, and organisational excellence. From research to real-life solutions, JJIM has a long track record in developing and marketing treatments that make a real difference.

We are currently looking for a unique individual with exceptional analytical, communication and data problem solving skills to join the Asia Pacific Data Science Centre of Excellence, as we work on transformational data science initiatives that are innovating and changing the way JJIM operates.

The Opportunity

An opportunity has arisen for an extraordinary and enthusiastic Principal Data Scientist who is passionate in crafting, developing, and fielding data science solutions that drive impact for healthcare professionals, patients and for JJIM.

As a member of the Asia Pacific Data Science Centre of Excellence, you will leverage your technical and communication skills to work on maintaining existing and developing new innovative data science models and algorithms. Your ability to learn quickly, demonstrate enthusiasm, bring a depth of machine learning understanding, and an appreciation for developing great products for our customers will be paramount to your success in this role. Primary focus areas include improving customer engagement and supporting our different therapeutic areas with innovative machine learning solutions. Specifically, you will:

• Be an individual contributor focused on developing and deploying machine learning solutions, in collaboration with the leads of the data science pillars, with particular focus on great solutions with the latest generative AI technologies.
• Collaborate with data scientists, our IT partners and our business partners across APAC to conceive, develop, and implement new analytics solutions to high-priority problems aligned with the regional game plan.
• Mentor and provide support to more junior individual contributors as appropriate.
• Remain at the forefront of the latest data science trends and best practices - in particular those to do with Generative AI, be able to integrate them into JJIM processes when appropriate, and be open to sharing that knowledge across the APAC Data Science CoE for collective capability building.
• Participate in select forums or conferences, which may require you to travel across Asia Pacific from time to time.

Qualifications

Key to your success in this role will be your foundational expertise in machine learning and proven history of writing clean and efficient code for the purpose of leveraging the latest data science technologies for organizational impact.

Required:

• Master’s/PhD in computer science, machine learning, business analytics, statistics, mathematics, bioinformatics, or related discipline.
• At least 6 years of experience in developing and deploying ML solutions in a variety of ML areas such as recommendation engine, semantic search, forecasting, anomaly detection, STT, TTS etc.
• Strong experience and knowledge of various gen-AI models and architectures, including fine-tuning open-source models, distributed training and hosting of LLM and LLM Ops.
• Solid understanding of foundational machine learning concepts and algorithms.
• Experience working with good DevOps practices, familiarity with CI/CD tools and infrastructure as code (Docker/Kubernetes/etc.).
• Expert knowledge of Python and SQL programming.

Preferred:

• Strong contribution to open-source projects.
• Thought leadership in AI/ML.
• Experience in any cloud-based stack (e.g. AWS, Azure, GCP).
• An interest in innovating in the pharmaceutical industry.

Personal Qualities

• Proven ability to work both independently and collaboratively in a team.
• Strong interpersonal and communication skills, being able to distil your tasks in a digestible form for your colleagues and stakeholders alike.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Get to know the Team

The OmniCommerce team is a close-knitted team with diverse backgrounds, sharing a common purpose - to build the best products to engage our customers online and offline. The team is bonded over the passion for building user-first products, driven by numbers and analytical thinking. The Analytics team’s mission is to use data and experimentation to drive product and business innovation. We focus on providing data-driven insights to deliver an impeccable and seamless experience for our consumers, merchants, and driver-partners.

Get to know the role

We are looking for a Senior Data Scientist (Analytics) to provide critical insights and drive our OmniCommerce product forward. This requires working closely with various teams within Grab (Product, Engineering, Business, Operations, Marketing and others), pushing boundaries and thinking outside the box to drive break-through improvements. You will be a key part of the OmniCommerce Analytics team and a thought partner to our stakeholders and regional leadership. As we are gearing up for growth, your role will involve working closely with regional and local team members to influence the overall strategic direction of the product.

Your role is to guide a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

The Day-to-Day Activities

• Product Analytics: Partner with the product, design, and engineering team to derive insights, design experiments, and drive key product decisions.
• Strategic & Business Analytics: Support strategic initiatives with data analytics and insights, including but not limited to deep-dives into customer behavior, product efficacy, and other ad-hoc projects.

Your role will be to:

• Collaborate with stakeholders to identify business requirements and outcomes.
• Act as the analytics thought partner to the working group, ensuring data-driven decision-making is never compromised.
• Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
• Define and align with stakeholders on key metrics, design and propose experimentation strategies.
• Frame business scenarios and propose features that might have great impact on critical business processes and/or decisions.
• Process and distill stakeholders requirements into concise insights through reports, presentations, and dashboards.
• Consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making.
• Develop data pipelines, customized data science models to solve identified problems.
• Launch A/B tests, analyze experiment results and provide recommendations.

The Must-Haves

• 4+ years experience working in data-related and/or quantitative fields, preferably in B2C business, including but not limited to OmniCommerce, ECommerce, Retail Marketing Analytics, Banking, Loyalty Programs and more
• Strong data visualization and storytelling skills. Experienced in creating dashboards using PowerBI or Tableau.
• Fluent with SQL, Python, R or other scripting/programming languages to problem-solve.
• Experienced with working with very large datasets and maintaining complex ETL.
• Strong statistical knowledge with hands-on experience running and analyzing controlled experiments.
• Keen eye for spotting patterns and trends in data, able to hypothesize problem statements and propose appropriate solutions
• Strong work ownership and ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision making while maintaining high attention to detail.
• Self-starter, principled and driven to do the right thing.
• Strong communication and cross-functional collaboration experience.
• The ability and willingness to initiate, lead and drive new agendas, with the ability to roll up your sleeves and address an issue head on.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Get to know the Team:

Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.

Get to know the role:

Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).

Day to day responsibilities for Data Engineer includes but is not limited to:

• Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs
• Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications
• Design and implement scripts, ETL jobs, data models, etc.
  Provide horizontal, organization-wide visibility through metric measurements and insights regionally across different functions and teams
• Develop and uphold best practices with respect to change management, documentation and data protocols
• Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds
• Participate in technical and product discussions, code reviews, and on-call support activities

The Must-haves

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions
• Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
• Ability to work in a fast-paced agile development environment
• Knowledge of programming languages such as Java, Scala, Python, etc.
• Understanding of performance, scalability and reliability concepts
• Experience with Big Data frameworks such as Hadoop, Spark, etc.
• Experience with developing data solutions on AWS
• Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
• Excellent written and verbal communication skills in English

The Nice-to-haves

• Experience with performance tuning & query optimization of data warehouse systems
• Experience with Graph DB
• Experience with Stream processing technologies such as Kafka, Spark streams, etc.

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

This role will be an integral part of the PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Description

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
• Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
• Align to PSA data policy, data governance standards and best practices and document as required

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
• Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
• Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
• Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.

Experience

• At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.

P0005

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· To understand each department’s daily processes e.g., marketing, sales, human resource, operations etc.

· Be open to learn new things and enjoy the learning journey

· Job rotation between various departments

· Participating in meetings, workshops, and events

· Compiling analysis and making presentations to other team members

· Completing fieldwork and providing evaluation analysis of the company’s services

· Learn various staff functions, including management viewpoints, company policies and practices affecting each phase of business

· Fulfilling any requirements and meeting goals set out at the start of the traineeship

· Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties

· Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

· Report on company progress

· Compile and evaluate performance reports

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 Department of Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

• Candidate with no experience is welcome
• Passionate about gaming industry
• Japanese MNC

Responsibilities

• Coordinate global game tournaments from inception to conclusion.
• Propose and implement creative enhancements to enhance publicity and engagement for diverse events.
• Oversee shop tournaments and handle PR materials for events.
• Manage event budgets, expenses, and negotiate favorable rates.
• Support various events, including mobile gaming.
• Collaborate with internal and external stakeholders for seamless event execution.

Requirements:

• Candidate must possess at least Diploma in Marketing
• Candidates with 3 years of relevant working experience would be considered as
• Excellent communication skills in English, both written and oral
• Must have basic knowledge of social media management

If you are interested, kindly apply through mycareersfuture.

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

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

Role & Profile

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

• at least a bachelor degree in computer studies
• minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 5 years of development experience with using Microsoft Business Intelligence stack covering
  • Tabular Analysis Service
  • Data warehousing
  • Performance tuning
  • Data transformations and quality checks
  • Power BI dashboarding and reporting
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks.
• strong communication (written and verbal) and organizational skills

Key job responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

The Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Sales, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality of delivery.

Mission Context

Must be able to understand the functionalities and enterprise-wide data flows of Capital Marketing banking systems. Should be able to understand the criticality of business processes. Well versed in different type of testing; Functional Testing, Sanity Testing, Regression Testing, User Acceptance Testing etc.

Key Responsibilities

• Develop test cases and execute them in every Non-Regression Testing cycle.
• Create test data to perform test case execution.
• Automate the manual test cases and ensure the maintenance of test scripts.
• Run the automated test cases within UFT and BDD Selenium framework.
• Maintain the build job in Jenkins
• Defect and root cause analysis.
• Identify and implement automations to improve efficiency.
• Interact with other teams to perform Integration testing and Participation testing.
• Develop documentation for application knowledge transition.
• Interact with stakeholders, Dev and BAs.
• Create and Send daily execution reports to the clients.
• Undertake any other duties of a similar level and responsibility as may be required from time to time.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications

• 6+ years’ experience in IT.
• Strong analytical and problem solving skills
• Must have Scripting languages – VB Script, Java, Selenium
• Must have Tools knowledge– HP ALM, Jenkins, Putty, Micro Focus UFT, BDD Cucumber
• Good to have DevOps Tools knowledge: GIT, Jenkins, Selenium, Maven,
• Must have SQL Server – Database and SQL Query knowledge
• Must have Capital Markets domain knowledge
• Able to interact with senior management in Business and Technology, as well as technical colleagues
• Knowledge and experience of agile methodologies
• Excellent presentation skills including oral and written communication skills
• Enthusiastic, motivated team player
• Industry standard certifications in ITIL and SCRUM methodologies would be beneficial

Besides having greater experience on quality assurance, as a senior analyst the candidate is expected to lead discussions with architectural teams(functional and technical), different stakeholders , investigate and provide solution to compex business issues and promote continuous improvements.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

Job Description:

• Lead a Big Data SRE team and oversee the development and maintenance of the big data ops automation platform, and improve the operation and maintenance management level of big data
• Monitor the performance and system stability of big data system in Shopee such as Hadoop/Spark/Storm/Kafka
• Provide technical expertise on big data-related businesses such as search engine, deep learning, and promote sustainable development of big data business
• Responsible for big data ops architecture review, capacity planning, cost optimisation, tracking and troubleshooting, and building a big data monitoring system to maintain overall stability and efficiency

Requirements:

• Bachelor’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Engineering, or other related fields
• Minimum 8 years of work experience in Big Data SRE, including 3 years of experience in managing a team
• Proficient in Linux system and script development in Hadoop/flink/hbase/ES/kafka/Druid/Clickhouse environment
• In-depth understanding of large-scale big data operation and maintenance architecture solutions
• Excellent communication and leadership skills

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

Job Description

The National University of Singapore intends to hire a Visiting Full Professor whose research focus is in statistics and data science.

The applicant should have demonstrated excellence in research, teaching and service.

Qualifications

Currently a Professor in Statistics or Data Science at a reputable university.

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.

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Statistics and Data Science

Employee Referral Eligible: No

Job requisition ID : 23752

Role & Profile

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

• at least a bachelor degree in computer studies
• minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 5 years of development experience with using Microsoft Business Intelligence stack covering
  • Tabular Analysis Service
  • Data warehousing
  • Performance tuning
  • Data transformations and quality checks
  • Power BI dashboarding and reporting
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks.
• strong communication (written and verbal) and organizational skills

Key job responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599