Position Summary:

We are looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful visualizations, and manage data workflows using Tableau, Databricks, and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Role and Responsibilities

• Develop, implement, and maintain data analytics solutions using Tableau, Databricks, and AWS.

• Create and manage interactive dashboards and reports to visualize complex data sets.

• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

• Perform data extraction, transformation, and loading (ETL) processes to ensure data integrity and accuracy.

• Conduct exploratory data analysis to identify trends, patterns, and insights.

• Optimize data workflows and processes for efficiency and scalability.

• Provide training and support to team members on data tools and best practices.

• Stay up-to-date with the latest trends and technologies in data analytics and visualization.

• Build robust and reproducible data ingest pipelines to collect, clean, harmonise, normalise, and consolidate data sources.

Requirements / Qualifications:

• Bachelor in Data Science, Computer Science, Information Technology, or a related field.

• 2 - 3years of experience in the relevant field

• No experience is also welcome, on job training provided!

• Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS.

• Strong proficiency in SQL and data manipulation languages.

• Experience with ETL processes and data pipeline development.

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.

• Ability to work independently and manage multiple projects simultaneously.

• Familiarity with healthcare data and regulations is a plus.

• Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.

Preferred Skills:

• Experience with Python or R for data analysis.

• Knowledge of machine learning techniques and tools.

• Ability to design and implement data models and data architecture.

• Certification in Tableau, Databricks, Sagemaker or AWS is a plus.

• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.

• Experience in cloud -based data platform.

• An understanding of finance data is a plus.

WAREHOUSE CLERK @ RECYCLE COMPANY @ BUKIT BATOK IND. PARK A

Responsibilities:

- Attend to Walk in Sales or In-House Sales

- Answering phone calls or enquiries on products and reply emails

- Manage social media platforms and online postings

- Cleaning, packing, re-arranging of warehouse stocks, carry IT/AV/ Furniture, take photos

Requirement :

-Good communication and coordination skills

-Good work attitude and independent

-Basic PC literate (Email, Ms Word, Excel, internet posting / marketing)

-5 days work week (Monday to Friday)

-Working hours: 10 am to 6 pm

- PR / Singaporean only

-$1600 (CPF)

Interested candidates kindly apply with the latest resume via [email protected] or whatsapp to 8768-0049

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

Job responsibilities

• Operate, maintain, troubleshoot, and repair electrical equipment in a Data Center environment. Provide Root Cause Analysis (RCA), recovery, and prevention actions for service failure.
• Prepare and execute operation procedures, respond to work request/service failure, and provide operational and technical expertise in required areas. Coordinate vendor support in repairs/replacement and support project implementation (site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Improve site WUE and PUE, operational efficiency, and minimize environmental impact. Develop a good understanding of the infrastructure design and sequence of operation.
• Prepare and conduct training/sharing to the team. Ensure safety rules and regulations associated with operating infrastructure.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• Experience with electrical, mechanical, and controls systems including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units, and CRAC units.
• Experience in troubleshooting.
• Ability to work non-standard, on-call rotation weekend hours.

Preferred qualifications

• Electrical Technician's Licence.
• Experience troubleshooting for electrical systems.
• Knowledge of industrial networking and coordinating with others in order to determine problems and implement solutions.
• Familiar with SCADA, Power monitoring system, building monitoring system, and PLC programming.
• Ability to work in varying outdoor temperature conditions and perform material handling (lifting/shifting) to work on platforms, ladders, and under raised floors.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions and follow the site’s environmental health and safety policies.

Job Duties

• Able to plan and make necessary arrangements for specific jobs given
• To conduct quality checks on work done by workers
• To oversee daily operations at site
• Ensuring that all workers comply with all safety measures required
• Liaise with main contractor and coordinator with regards to all matter pertaining to the project
• Responsible for the upkeep of documentation on project matters
• Submission of daily reports to coordinator and as built drawings upon completion

Job Requirements

• With at least 5 years of relevant site supervision experience especially with RC works, Dwall, canal and road diversions
• Possess required BCSS/Work at Height Assessor / Supervisor certifications
• Lifting Supervisor certificate an advantage
• Registered Earthwork Supervisor certificate an advantage
• Supervise Confined Space Work certificate an advantage
• Have initiative and responsible at work
• Conversant with key plans/technical drawings

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior/ Data & Machine Learning Engineer is a hybrid role focusing on developing our modern Lakehouse including pipeline development, and the deployment of machine learning models.

This position combines the responsibilities of a Data Engineer and Machine Learning Engineer, ensuring robust data pipelines and scalable deployment of ML models.

The role involves building data ingestion and transformation processes, deploying machine learning models, and working with DevOps and CI/CD for automated deployments and monitoring.

Collaborating with Business Analysts to ensure business requirements are translated into data solutions.

Working with Data Analysts to deliver accurate and reliable datasets that power impactful analytics and dashboards.

Partnering with other Data Engineers and Analytics teams (e.g., Quantitative Research team) to support advanced analytics and provide datasets for reporting and insights.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and translate this into technical analytical solutions.

Responsibilities

• Design and maintain data pipelines: Design, build, automate, and optimize ETL/ELT pipelines to support data flow, transformation, and availability across the Lakehouse platform.

• Collaborate on data storage and solutions: Partner with analysts to create scalable storage solutions, optimizing data structures for both analytics and ML applications.

• Implement data quality and governance standards: Establish monitoring and enforce data quality checks, ensuring data consistency, reliability, and compliance.

• Optimize and maintain model performance: Continuously monitor deployed models for performance, retraining or adjusting them as needed to ensure sustained accuracy.

• Deploy and monitor machine learning models: Design and implement CI/CD pipelines for model deployment, ensuring efficient and reliable delivery of ML models.

• Mentor junior team members: Guide and foster the professional development of junior data engineers, enabling their contribution to the team and ownership of project deliveries.

Expertise:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.

• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.

• Data Pipeline Development Skills: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.

• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.

• Python & Model Deployment Proficiency: Expertise in Python for deploying models and developing APIs for serving predictions.

• Spark & Azure Databricks: Skilled in using Spark on Databricks for processing large-scale datasets and supporting machine learning workflows.

Knowledge of:

• CI/CD Pipeline Creation (incl. for ML Models): Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines and machine learning models using GitHub and GitHub Actions with Databricks.

• Monitoring & Model Maintenance: Ability to set up monitoring tools for models, track metrics (accuracy, latency), and maintain model performance.

• IaC for Infrastructure Automation: Experience in automating cloud infrastructure management for consistent deployment and scaling using Infrastructure as Code tools like Terraform.

• Power BI Integration: Basic understanding of Power BI for creating visualizations of model performance and metrics for stakeholders.

• Agile Methodologies in Data Engineering: Understanding of agile frameworks to work within iterative sprints and collaborate with cross-functional teams

Experience:

• At least 3 Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.

• 1 Year in Machine Learning Engineering: Track record in managing the lifecycle of machine learning models, including deployment, monitoring, and retraining.

• Business & Data Transformation: Experience working in supporting business transformation and process improvement into Data-Driven organizations and systems.

• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Responsibilities

• Responsible for laying the foundations for the acquisition, storage, transformation, and management of data
• Advise on data infrastructure needs while assisting with data-related technical issues
• Review and design relational and multidimensional database structures, relationships, data flows and data interfaces
• Define ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Review data systems performance and recommend optimization strategies
• Regular reporting and work with business teams on systems performance and progress of implementation and updates for issues resolution

Requirements:

• 3+ Project experience with designing and building highly scalable Extract, Transform, and Load (ETL) processes and concepts
• Working experience & sound knowledge on DAX, Power Query/Power Pivot is a must
• Advanced knowledge and experience in relational databases, SQL.
• Experience in database design and modeling for data warehouse and business intelligence applications, including relational database structures and normal forms
• Able to analyze existing SQL queries for performance improvements
• Analytical skills to monitor performance and identify problems with in the database
• Exceptional communication and presentation skills, both written and verbal
• Detail-oriented and organized with excellent time management skills
• A team player with strong interpersonal skills and the ability to collaborate effectively with diverse teams
• Able to self-manage & assure timely delivery

Qualifications:

• Bachelor's degree in business, computer or related fields
• 3+ years of experience in ETL, data model & Power BI development
• BI certification is a plus
• Conversational Korean language skill is a plus

Please only apply via direct application on this MyCareersFuture website.

Or, email your CV and indicate Job Title as email subject to the following: [email protected]

Only shortlisted candidates will be notified.

• Cloud related Field Data Center Operations.
• Responsible for Capacity planning of Data Center resources and Data Center designing.
• This position requires hands-on technical skills to install compute rack, network and cables.
• Maintain and troubleshoot various hardware and physical network components.
• Perform and/or manage 3rd party vendors for installation of Data Center infrastructure such as rack, power, server, network equipment, cabling and cross-connects.
• Manage inventory and coordinate with suppliers and shipping companies for domestic and international shipments.
• Document, improve and maintain standard operating procedures
• Participate in the change management process
• Initiate and manage RMA processes with equipment vendors.
• Must be able to provide 24/7 on call support for emergency and outages.

Requirements:

• Minimum 8 years of experience in working with Data Center and ISP vendors for coordinating resource provisioning and device installation
• Experience in strong hands-on installation and troubleshooting server and network equipment
• Experience in DC project management
• Experience in asset management, and inventory control
• Experience in dealing with Data Center remote hands and their ticketing system.
• Must have working knowledge of Excel and shared docs and should be able to work with complex spreadsheets
• Experience dealing with customer support and SLAs
• Technical certification involving an IT discipline
• Hard working self-starter who can work with very minimal supervision
• Ability to troubleshoot enterprise level technical problems
• English proficiency , spoken and written
• Broad exposure to technical environments with understanding of hardware, networks, and the cloud infrastructure
• International shipping experience a plus (Up to 20% travel)

Summary

The objective of the role is to lead, architect and manage the technology eco-system of LK Asia Data Platform and integrate with IT Enterprise Architecture along side business controlling that supports the organization’s vision, mission, and strategy.

What you'll do

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Lead and manage staff of data engineers to build, maintain and support the data architecture.

Design and build the DWH database models (star schema).

Design and build efficient data pipelines (ETL) that ensure data quality and integrity.

Manage the BI semantic model, security roles, access rights and row level security filters.

Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vendors on new data requirements.

Ensure proper maintenance and support of the BI architecture including security roles, deployments, security patching and monitoring to ensure performance and compliance with internal technical and security guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Assist IT management with ad hoc tasks related to BI, reporting and audit as well as other tasks when required.

What you'll need

• 8+ years of experience in IT, preferably with BI Development background and exposure to different BI domains, platforms, and technologies.At least 2 years in staff managing position.Strong knowledge and proven hands-on experience in data warehousing (e.g. ETL design/development, data modelling)Proficiency in Oracle and PostgreSql.Strong analytical thinking, problem-solving capability and business process understanding.Customer-oriented with good communication and interpersonal skills.Good leadership and people management skills.Proactive, self-motivated, hard-working and able to work in a dynamic environment.Good spoken and written communication skills in English

What you'll receive

By designing and implementing scalable, secure, and efficient data solutions that meet the needs of the organization and its users, a holder of the position will gain a deep understanding of the business needs, processes and business applications used as well as have the opportunity to keep up with the changing technologies and trends in the BI & data field through working on various IT projects.

We are dedicated to fostering a family-friendly culture and work environment. We are an equal opportunities employer and welcome applications from all candidates with the required skills and experience. We enable fair pay within the company by creating non-discriminatory salary systems. Working at Lidl & Kaufland Asia is rewarding, in every sense, because we give you the training to succeed in your role and plenty of opportunities to progress your career here. We are accredited as a Fair and Progressive employer by the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP).

Market Leading Remuneration Package:

• Annual wage supplement and discretionary bonus
• Life Insurance
• Medical Insurance

Supportive Environment:

• Out of Office leave for important appointments
• In-house training courses
• Training sponsorship scheme

Work-life Balance:

• 5-day week
• Competitive Annual Leave
• Charity, Community and Sporting Events

If you are not invited for an interview within 4 weeks, we regret that your application was not suited to this vacancy.

For more company information, please feel free to visit: http://www.lidl.asia

Personal data collected will be used for recruitment related purposes only and will be destroyed after 12 months

JOB SUMMARY

Implement the document control, maintenance, recording and filing. Coordinate the overal Documentation Process and control and maintain the ISO documentation.

ESSENTIAL DUTIES AND RESPONSIBILITIES

· Setup and maintain all files in accordance with the document control operating procedures.
· Coordinate the overall documentation process.
· Control and maintain the ISO documentation.
· Maintain the document control system.
· Liaise with other departments to ensure proper documentation flow.
· Delegate jobs within document control function.
· May perform other duties and responsibilities as assigned.
JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS

· Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
· Ability to define problems, collect data, establish facts, and draw valid conclusions.
· Ability to operate a personal computer including using a Windows based operating system and related software.
· Advanced PC skills, including training and knowledge of Jabil’s software packages.
· Ability to write simple correspondence. Read and understand visual aid.
· Ability to apply common sense understanding to carry out simple one- or two-step instructions.
· Ability to deal with standardized situations with only occasional or no variables.
· Ability to read and comprehend simple instructions, short correspondence, and memos.
· Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
· Ability to compute rate, ratio, and percent and to draw and interpret graphs.

Hall of Goods Pte Ltd is a distributor and reseller of lifestyle brands from around the world. While our company is based in Singapore, our brands are distributed and sold in many parts of Asia. We pride ourselves in being a true partner to the brand owners because we believe that it is equally as important to grow the equity of the brands we carry as it is to increase penetration and sales of their products in Asia.

Hall of Goods Pte Ltd invests in grooming our people as well as building strong partnerships with our suppliers and agencies. In that way, we create an eco-system that enables us to grow more effectively and efficiently.

While our structure is lean, we constantly look for talent that has the same values and principles as we do but can add new perspective at the same time. The values at Hall of Goods are simple.

1. Don’t be afraid to learn new things

2. Make sure everything you is done because you believe it has real value to the consumer and to the business

Roles & Responsibilities

Data entry and administrative assistant role

Responsibilities include consolidating and entering data from sales statements and providing administrative support to ensure efficient operations in the Company.

Job Responsibilities:

· Answer all enquiries via social media, phone call

· Entering of data entry, preparation and generating of invoices

· Assist with Management on any ad-hoc duties

. Flexible Working hours: 9am to 5pm. Minimum 3 working days a week. Working days can be discussed further

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Proficient in Microsoft Office

4. Good interpersonal and communication skills

5. Diligent, organised, self-driven, resourceful and fast learner

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

Job responsibilities

• Regularly inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. Provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems, and assess their working order.
• Be responsible for the uptime and maintenance of water pumps and treatment systems, HVAC, UPS, generators, electrical distribution, and Control and Monitoring Systems.
• Develop creative approaches to reducing operational costs, whilst improving efficiencies. Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Provide tracking and trending operational characteristics. Support startup, commissioning, and integration of new equipment and systems into facilities infrastructure.
• Follow the site’s environmental health and safety policies. Availability to work on shifts including nights, weekends, and holidays.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• 2 years of experience in data center facilities.
• Experience in HVAC, Electrical Maintenance, Electrical Safety, Electrical Systems, Electrical Infrastructure Systems, Mechanical Maintenance, Mechanical Infrastructure Systems, Generators.
• Ability to lift and move 50 lbs of equipment, work on platforms, ladders, and under raised floors.

Preferred qualifications

• 3 years of experience in controls/automation or the equivalent in a critical/ construction/ high tech environment.
• Experience in data centers, hospitals, hotel industry, power plants, HV electrical substations, or other mission critical facility maintenance and operational experience.
• Knowledge of electrical, mechanical, and controls systems, including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units and CRAC units.
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.

Job Description

• Data Entry
• General Admin Duties, Filing of Documents
• Provide Administrative Support to Account team
• Responding to incoming Email and Phone Enquiries
• Adhoc duties assigned by Management

Requirements:
• Required skill(s) : MS Excel, MS Office
• With/ Without Work Experience
• Willing to learn

Responsibilities

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
• Develop quantitative models for Market Making, Order Execution, and Delta One desks.
• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.
• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.
• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.
• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.
• Present insights associated to business results and Data-Science methodologies to key stakeholders.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.

Qualifications & Skills

• Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.
• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Advanced coding skills in Python.
• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Knowledge of Machine Learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Certain knowledge of Mathematical Finance and Financial Markets, for example Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Scrum methodology, Agile framework, and Jira.
• Knowledge of Git, SQL, Spark, and Dash (or similar).
• Familiarity with cloud services such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
• Experience with Business Development is a plus.
• Experience with MLOps tools (e.g. Dataiku or similar) and with programming languages such us R and Scala is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

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

Main Responsibilities:

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

Requirements:

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

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

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

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

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

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

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 Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

We are seeking an experienced Senior Data Scientist to lead our data science initiatives and drive innovation in our financial technology products and services. The ideal candidate will have a strong background in machine learning, deep learning, and their applications in the banking and financial services industry.

Key Responsibilities:

• Lead the development and implementation of advanced machine learning models for a variety of projects, including but not limited to:
  • Fraud detection and prevention
  • Anomaly detection in financial transactions
  • Recommendation engines for financial products
  • Risk assessment and management
  • Customer segmentation and personalization
  • Credit scoring and loan approval automation
  • Anti-money laundering (AML) systems
  • Market trend prediction and algorithmic trading
• Develop and implement large language models (LLMs) for applications such as:
  • Automated document processing and information extraction
  • Sentiment analysis of customer feedback and market reports
• Collaborate with cross-functional teams, including engineering, business stakeholders, and data analysts to identify opportunities, define problems, and implement data-driven solutions
• Mentor junior data scientists and provide technical leadership to the data science team
• Design and oversee the end-to-end machine learning pipeline, from data ingestion and preprocessing to model deployment and monitoring in production environments
• Stay current with the latest advancements in AI and machine learning, particularly in the fintech space, and incorporate new techniques into our projects
• Communicate complex technical concepts to both technical and non-technical audiences, including executives and stakeholders

Requirements:

• Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• 5+ years of experience in applied data science, with a strong focus on the banking and financial services industry
• Proven track record of building and deploying machine learning models into production environments
• Proficiency in Python and the PyData ecosystem (NumPy, pandas, scikit-learn)
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL
• Experience with A/B testing and experimental design in a financial context
• Demonstrated ability to work with and process various data types, including structured financial data, unstructured text, and time series data
• Strong understanding of statistical concepts and their applications in finance
• Excellent communication skills, with the ability to present complex ideas to both technical and non-technical audiences
• Experience leading projects and mentoring junior team members

What will make you stand out:

• Experience with LLMs, including fine-tuning and deployment for specific use cases
• Knowledge of MLOps practices and tools for model versioning, deployment, and monitoring
• Relevant open-source projects, blog posts, conference talks, etc

This role offers an exciting opportunity to work at the forefront of financial technology, applying cutting-edge machine learning techniques to solve real-world problems in the banking and financial services industry. The successful candidate will play a crucial role in shaping the future of our products and services, driving innovation, and contributing to the growth of DKatalis.

Job Responsibilities:

• To be responsible for driving and utilizing data analytics to develop intelligent insights for AML programs which includes customer risk-profiling, enhanced name screening, advanced on-going monitoring and management information system

• To work with multiple stakeholders to obtain data and deliver outcomes

• To work with large data sets and visualize outputs, ensuring data accuracy and good segmentation of data sets for tactical data mining tasks

• To perform documentation of methodology and outputs of data analytics and perform model validation

• Break down complex issues and develop solutions through data analytics, and present the findings in a structured and explainable manner

• Leverage on data analytics to support overall AML strategies to meet MAS regulations and expectations

• Use advance data modelling and analytical techniques to interpret key findings and leverage these insights in initiatives to improve efficiency and effectiveness of AML program

• Deliver MIS dashboard to facilitate AML compliance oversight and reporting

Job Requirements:

• Bachelors or Masters Degree in a quantitative field (e.g. Statistics) • Fresh grads, 0-5 years of experience are welcome to apply

• Internship experience or working experiences in relevant data analytics role

• Experience in financial crime compliance is an added advantage but not a must

• Proficient in SQL and Python

• Proficient with MS Office and Google Suite

• Detailed and process orientated

• Ability to think innovatively

• Ability to present complex ideas in a concise and simple manner

• Ability to work under tight timelines

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

What the role is

In the face of rising global health crises such as COVID-19, a rapidly aging population and increasing healthcare consumption and costs, we have to be able to leverage on healthcare data to drive decisions and improvements to care quality, delivery, and value.

You will be part of a team that develops strategies and supporting policies to facilitate the discovery and exploitation of health technology and healthcare data. This team also develops frameworks to govern and manage the security and protection of data. Within the constantly evolving regulatory and policy space of technology, you will be working in a fast-paced and dynamic environment that requires managing multiple priorities and stakeholders with complex needs at the same time.

What you will be working on

• Formulate policies and frameworks relating to healthcare data and technology to enhance MOH’s management and exploitation of health data and technology to achieve our policy, clinical and operations goals.

• Review and refine on-going programs and efforts to empower stakeholders and increase ownership of data security and data protection risks and compliance.

• Assisting with data request evaluations and processes, including personal data protection impact assessments, data security risk assessments

• Resolving ad-hoc stakeholder queries on data governance issues

• Consolidate, track and report progress of data security and protection programmes.

• Collaborate with stakeholders to formulate approaches to protect data and to update senior management on data protection and risk mitigation.

What we are looking for

• Minimum of 5 years experience in data, preferably in the healthcare and/or public sector.

• Bachelor degree in Computer Science, Health Sciences, Health Informatics or related field.

• Experience in developing and implementing strategies and policies. Strategic thinking to reimagine healthcare strategies relating to data and technology, as well as an ability to work through the operational details needed to implement the strategy

• Meticulous, able to work with granular data.

• Good understanding of the use of data in a healthcare environment.

• Excellent command of the English language with strong written and oral communication skills.

• Ability to engage stakeholders and balance conflicting demands, while managing their expectations

• Critical thinking and creative problem-solving skills

Data Entry Clerk @ Bukit Batok Industrial Park

Working Location: Blk 2019 Bukit Batok St 23 (Ind Park A)

Responsibilities:

• Perform daily data entry duties
• Provide general administrative support, including filing, scanning, and organizing documents
• Attend & respond promptly to customers’ orders & enquiries.
• Any other ad-hoc administrative duties

Job Requirement:

• No experience required as on-the-job training will be provided
• Familiar with MS Office (MS Word, Excel)
• Strong attention to detail. Good organizational skills
• Able to work independently and manage time efficiently
• Salary: $1600 (CPF)
• Working days: 5 days (10 am to 6 pm – Mon to Fri)
• Singaporean / PR only

Interested candidates kindly apply with the latest resume via [email protected] or whatsapp to 8768-0049

ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

As a Data Engineer,

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 4 plus years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)