Total 394 data entry job vacancies in singapore north east

Detail:

• Location: Jurong Island, Singapore (Transport provided at designated point)
• Employment Type: Permanent  
• Compensation: Competitive Salary with AWS and 3 Months Variable Bonus  

Responsibilities:

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

How to Apply:

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

Reg No: R1549345
Triton AI Pte Ltd  
License No: 21C0661

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

We are seeking an accomplished Application Architect with a strong focus on SAP HANA Master Data Governance to join our innovative Information Technology team. In this role, you will be responsible for the designs, development and support of enterprise level master data solution using SAP Master Data Governance and/or other SAP Master Data Management solutions. Your excellent presentation and communication skills will be essential in conveying complex technical concepts to both technical and non-technical stakeholders.

Key Responsibilities:

• Lead the design of complex master data solution.
• Provide guidance to the implementation team during the entire project life cycle involving products like SAP MDG, SAP MDM etc.
• Lead the master data governance team, motivating and mentoring team members.
• Provides effort and time estimates for MDM activities and identify & manage dependencies.
• Applies, reuses, and integrates existing business logic and infrastructure to validate & govern data.
• Develop comprehensive plan for the execution of MDM project activities.
• Collaborate closely with the client to ensure alignment and address their MDM requirements.
• Maintain clear and consistent communication with stakeholders through periodic status reports and presentations, highlighting milestones, progress, and potential risks.
• Proven experience to lead the MDG track comprising Materials, Business Partners, Finance Objects as well as work with Utopia for Plant Maintenance Objects.

Required Professional and Technical Expertise :

• Minimum 10 years of experience leading and executing SAP Master Data Governance projects.
• Proven expertise in SAP Master Data Governance and/or other SAP Master Data Management solutions.
• Solid knowledge of SAP Master Data Governance processes and best practices.
• Expertise with controlling master data flow between SAP and non-SAP applications with predefined data models.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Experience working in a fast-paced and agile environment.

• Permanent position with various allowances
• Entry level and willing to work in shift
• MNC Chemical Manufacturing Company

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.
• Train and develop team members.

Requirements

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.
• This is a shift work position (i.e. Rotating AM and PM shifts, including weekends and Public Holiday) and there will be scheduled off days.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

1.    To perform Data Analysis and Reporting

• Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
• Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL   
• Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level 
• Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
• Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
• Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
• Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
• Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
• Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
• Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.
• Continuously optimize SQL queries for performance, scalability, and maintainability. 
• Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance dashboards to support Process Automation

• Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
• Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
• Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
• Develop Python scripts to streamline and automate manual data transformation processes. 
• Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
• Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration

• Collaborate and align with central departments/stakeholders to support in achieving sales target
• Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
• Collaborate with project stakeholders to define project scope, objectives, and deliverables.

Reporting and Analytics Developer/Data Engineer

Job Summary

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 5 to 10 years.. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Responsibilities:

• Develops, implements, and maintains methods, operation sequence and processes in the fabrication of parts, components, sub-assemblies and final assemblies

• Interfaces with other engineering functions to coordinate the release of product improvements and/or new products

• Launches, releases, approves and implements or issues engineering change requests as required to support design engineering and Operations with new and existing products

• Uses basic engineering and DFx principles to estimate and reduce manufacturing and/or product costs and improve delivered product quality; determines time standards and makes recommendations for tooling and process requirements

• Writes and releases test procedures

• Gathers operational and test data and evaluates results

• Evaluates work methods, procedures and policies

• Assists in determining root cause analysis for issues that arise during assembly and/or test of systems

Requirements:

• Bachelor Degree in Engineering

• Some understanding in semiconductor industry and chip-making process

• Work in a cleanroom manufacturing environment where you need to wear cleanroom suit

• Resourceful, hands-on and proactive

Working Location: Upper Changi office

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

What a Director Data Science, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.

• Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements

• Establish best practices for data science project governance, solution development and operationalization

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.

• Establish clear success measures for data science projects and drive continual improvement

• Promote thought leadership in the data science domain and build intellectual property through innovation

• Effectively interact with clients and manage internal/external stakeholder communication

• If required on a per-project basis, work onsite for a short duration

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.

Data Analyst (SG)

12 months fixed term contract

As a Data Analyst supporting our client - a technology company focused on the real estate market, you’ll play a pivotal role in owning goal-setting, strategy, measurement and analysis of their owned social channels, product and business. 

You’ll translate the data into meaningful and actionable insights for the business to develop campaigns, initiatives and business goals.

Role: 

• Own analysis, reporting and relevant dashboards of performance across APAC consumer marketing campaigns. 
• Identify core metrics, drive education of key metric drivers internally, and help set strategic paths towards measurable results
• Set up, maintain and develop social campaign databases across key markets and products to establish relevant baselines.
• Showcase and create learning decks with best-case practices to advance campaign effectiveness and creative excellence internally.
• Identify and build cases for opportunities to “cut through the noise.”  Translate complex analytics to easy-to-understand and engaging recommendations for internal marketing teams and relevant partner agencies working on social and consumer marketing initiatives.
• Lead discussions broadly around social campaign measurement (Paid, Owned, Earned) between client marketing teams and supporting agencies.

You:

• 4+ years of experience in an advertising, digital, or social media agency or in technology companies as a social media analyst, measurement analyst, data analyst or marketing analyst 
• Understanding different marketing measurement methodologies (e.g. creative testing, causal campaign reporting, brand metrics tracking) throughout the marketing/product funnel
• Skilled in data management and visualisation tools (Sheets, Slides, Data Studio).
• SPSS, R, and Python skills would be an added benefit but not a must.
• Capable of visualising data and quickly producing charts and graphs that tell a story to our client team and their internal marketers.
• Relevant skills in working with social listening tools (e.g. Brandwatch) and developing reliable syntaxes are a bonus but not a must-have.
• The ability to turn data into tangible learnings and recommendations that can be applied across marketing activities.
• Proven ability to drive mid/long-term measurement goals, campaign goals, KPIs and targets.
• The ability to be comfortable with ambiguity, asking questions and assuming positive intent in an often fast-paced environment with many stakeholders.
• Exceptional verbal and written English communication and presentation skills and, ideally, fluent in another Asian language to support the projects spanning across APAC.

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

• Company: MNC Chemical Manufacturing Company
• Location: Jurong Island, Company Transport Provided at Designated Point
• Salary: Up to $3300 + Transport Allowances $200 (Entry Level Degree Holder)
• Headcount: Permanent Role with AWS and Variable Bonus

Responsibilities:

• Contribute to the research and development of polymer products for value-added applications.
• Coordinate and execute day-to-day activities for product design projects, ensuring timely completion to meet new product development targets.
• Collaborate with Chemists to conduct commissioning and method development for new equipment, as well as enhance existing testing methods.
• Take a lead role in maintaining the smooth operation of the R&D laboratory, including regular equipment maintenance, preparation and revision of operating procedures, and adherence to Health, Safety & Environment protocols.

• Bachelor's Degree in Chemical/Polymer/Material Engineering or Chemistry.
• Diploma in Chemical Process/Material Technology with substantial experience in the Polymer Industry will also be considered.
• Experience in polymer material processing and testing is an added advantage.
• Strong team player with initiative, excellent analytical thinking, and communication skills.
• Proficient in Microsoft Office.
• Physically fit as required to carry loads in laboratory environment

If you are passionate about contributing to ground-breaking research and development in the polymer industry, we invite you to forward your CV in MS Word format to [email protected].

Triton AI Pte Ltd

Reg No. R1983718

License no. 21C0661

The role will be responsible for managing Platform and Data Services (PDS) operational risk and control activities across multiple clusters within Asia (Asia North & Australia and Asia South and Japan Clusters). This will involve working closely with product teams and senior management to monitor, maintain and enhance the risk and control framework.

Excellent communication skills are required in order to negotiate internally, often at a senior level. Strong commercial awareness is a necessity.

Well-developed diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasionally external customers.

This role will work in conjunction with the global Controls & Regulatory Management (CRM) team as part of a holistic approach across the Treasury & Trade Solutions (TTS) business.

The PDS Controls SVP is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise.

Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.

Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy.

Responsibilities:

• Assist the PDS business in key policy adherence and monitoring.
• Keep management aware of the risk and control environment within PDS through continuous and open communication, by participating in Risk Control Forums with senior management to present and follow-up on issues, concerns and corrective action plans.
• Update and maintain a robust Manager’s Control Assessment (MCA) in compliance with the Citi Operational Risk Policy.
• Ensure adherence to the Citi Operational Risk Policy in regard to operational loss approvals and reporting.
• Ensure that the business has a sound control environment from an information security perspective, including adherence to relevant policies where appropriate.
• Responsible for the coordination of key projects in respective regions and occasionally on the global level.
• Participate as the facilitation contact for audits, working with product leads, and ensure that requests are timely and appropriately provided.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Specific responsibilities will involve:

• Regulatory change management/coordinating impact assessments
• Oversight for issues and action plans
• Preparation and coordination of product based Risk & Control Forums (RCF)
• Manager’s Control Assessment (MCA) support/Activity, Risk, Control & Monitoring (ARCM) creation/testing
• Reviewing/tracking Product Approval Program (PAP) renewals
• Providing third party oversight for local vendors (if any)
• Oversight for records management
• End User Computing (EUC)/model oversight and review/analysis of new potential EUC’s
• Raising/tracking Information Security Incidents (SIRTs)
• Providing Financial Crime (AML & Sanctions) escalation/monitoring

Qualifications:

• Around10 years of experience in Operational Risk Management, Audit, compliance or other control function.
• Knowledge of digital product offerings.
• Familiarity with 3rd party risk models.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Able to influence senior levels in the product organization and possess excellent judgement when escalating issues.
• Able to work independently while coordinating with other clusters, global controls & regulatory management, and product teams.
• Build strong relationships with product teams, 2nd Line of defense, Internal Audit.

Education:

• Bachelor’s/Universitydegree or equivalent experience, Master’s degree is "Good to have"

Additional Job Description

Risk and Controls SVP focused on Asia Clusters/Japan for PDS; responsible for regulatory change management/coordinating impact assessments, oversight for issues and action plans, MCA support/ARCM creation/testing, reviewing/tracking PAP renewals, third party oversight for local vendors, records management, and EUC/model oversight. and tracking incident/SIRTs, AML and Financial Crimes escalation/monitoring, and RCF submissions.

We seek creative individuals who combine strong analytic abilities and effective communication skills to better shape and deliver solutions. You will work with several account leads and clients. You will primarily be responsible for the design, build, testing, deployment, and support of complex dashboard & analytical solutions as part of an established APAC Analytics & BI team.

Expectations of a Data Intelligence Intern

• A growth focus individual, who is motivated to push the boundaries, while proactively and innovatively finding ways to develop both client appetite for data and analytics; as well as developing world-class excellence in Asia Pacific delivery of data and analytics solutions for advertising and marketing.
• Work with the regional client team to analyze business requests and partner with stakeholders to provide a strategic solution data and analytics into actionable plans and tactics at regional and local market level.
• Work with business support, project management and technical experts as required across local markets to translate identified data into effective dashboarding solutions and reporting projects.
• Design, Build, Test, Debug, Monitor, and Troubleshoot various dashboarding solutions.

Design, implement, and maintain scalable and efficient data pipelines using Spark, Python, and PySpark.

Ensure the smooth flow of data from various sources to destination systems.

Utilize SAS, Spark, Python, and PySpark for efficient data processing.

Design and implement data models to support business requirements.

Work closely with data architects to ensure data models align with organizational needs.

Implement data quality checks to ensure accuracy and consistency.

Adhere to data governance policies and maintain data integrity.

Optimize data processing and query performance using Spark, Python, and PySpark.

Identify and resolve bottlenecks in the data pipeline.

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

Bachelor's degree in Computer Science, Information Technology, or a related field.

Proven experience as a Data Engineer with expertise in Hadoop Implementation, Scala, Spark, Python, and PySpark.

Experience with big data technologies and distributed computing.

Proficient in, Spark, Python, and PySpark.

Strong problem-solving and analytical skills.

Excellent collaboration and communication skills.

Familiarity with data security and privacy best practices.

Experience with big data technologies such as Hadoop is a plus.
Good to have Connexa

• Develop and implement tailored Project Control concepts for data center construction, ensuring precise cost and document control.
• Establish and communicate effective processes for control and reporting throughout the project lifecycle.
• Drive major project control milestones, including cash flow, monthly pay applications, schedule management, and final accounts.
• Manage commercial activities with GC and key sub-contractors, overseeing day-to-day project control.
• Support change control processes, manage ongoing issue tracking, and provide priority-driven commercial issue reporting.
• Collaborate with Scheduler on schedule progress reports and analysis.
• Assist in review, development, issuance, and evaluation of subcontract change orders.
• Maintain and control budgets, providing detailed cost reporting updates.
• Identify and evaluate potential changes, review contractor invoices, and coordinate implementation plans.
• Present cost analysis results to clients, ensuring alignment with governance and objectives.
• Define work scope, prepare schedules, and budgets for various-sized projects.
• Contribute to a culture of safety, quality, speed, and effectiveness.

• Permanent role with variable bonus
• Hybrid
• Experience in financial analysis/ data analyst who analyze business or finance performance

Role and Responsibilities:

• Collect, analyze, and interpret data to identify trends, patterns, and potential areas for enhancing vessel financial performance.
• Develop insightful analysis and assist internal stakeholders to provide recommendations with the objective of financial improvement.
• Track and submit monthly KPI Report to management.
• Manage business unit’s / sub-business units’ implementation of improvement actions.
• Conduct benchmarking exercises.
• Analyse data and provide insights for P&L forecasting and budgeting.

Requirements:

• Bachelor’s degree in either business administration, accounting, data science, statistics, mathematics, or similar subject from a recognized university.
• Minimum 5 years of relevant working experience.
• The expertise to deep-dive and gain insights from data is a must.
• Excellent charting and graphical representation skills to enable effective communication of insights to management.
• Driven and a self-starter who enjoys working in a fast-paced environment.
• Excellent problem-solving skills and a proactive approach to challenges.
• Proficiency in data analysis, Microsoft Excel and MS PowerPoint. SAP is a plus.
• Effective communication and interpersonal skills to collaborate with colleagues across departments and various internal and external stakeholders.
• Proficiency in the English language, both verbal and written.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Hybrid
• Open communication culture

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps.  The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram

• Develop solutions to categorize Telegram users based on network topologies

• Develop machine learning models to predict user roles and information cascade patterns

• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field

• Preferably 2 and more years of professional programming experience

• Experience in Natural Language Processing and Computer Vision

• Experience in Network Analysis and Machine Learning

• Writing clean, readable, and easily maintainable code

• Ability to manage your own time effectively and deliver required tasks with minimal supervision

• Good teamwork skills

• Interest in applications of technology in academic research

We regret to inform that only shortlisted candidates will be notified.

Biospringer APAC is seeking an entry-level Finance & Data Analyst to support the Asia Pacific business.

This position is a key member of our Biospringer APAC team and Biospringer Finance team and will work in close collaborations with cross functional teams in APAC, China and France.

It includes 3 main responsibilities.

Reporting:
• To coordinate monthly closing activities with entities producing for and selling on APAC markets to ensure compliance with BIOSPRINGER & Group reporting procedures
• To analyse, prepare and consolidate the monthly reporting at BIOSPRINGER APAC level
• To conduct analysis to understand variances between budget/forecast and actual performance/results
• To perform margin analysis
• To communicate with BIOSPRINGER Global finance team and BIOSPRINGER entities to understand APAC performance
• To track, monitor, and feedback on variance analysis (i.e.: pricing, costing, OPEX, …) to respective stakeholders

Budgeting and Forecasting
• To coordinate budgeting and forecasting processses and activities at BIOSPRINGER APAC level in accordance with Group and BIOSPRINGER Budget guidance,
• To analyse, prepare and consolidate Budget at BIOSPRINGER APAC level for discussion with BIOSPRINGER Global team

Business Support
• To take charge of cross-functional projects aimed at optimizing BIOSPRINGER APAC results and to ensure regular monitoring
• To monitor profitability per product / customer and be part of pricing management with Marketing team
• To be a business partner to the Sales team, and Sales admin team, in case of overdue
• To support accuracy of our S&OP forecast thanks to Sales data analysis
• To ensure transfer price rules follows Group guideline
• To actively participate and deploy the Group's procedures & projects at the regional level
• To coordinate and support compliance project if needed
• To support BIOSPRINGER and Group’s enhancement initiatives / programs launched on BIOSPRINGER APAC scope

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

• Permanent position with variable bonus
• Candidates with no experience are welcome
• Opportunities to travel abroad for business purposes
• Effectively bilingual in English and Mandarin due to business needs. Other spoken language is an added advantage

Roles & Responsibilities:

• Handle existing customers’ account and look for new customers
• Handling enquiry, negotiating price, preparing quotation, order and delivery
• Support distributors in market development, products knowledge and commercial requirement
• To review the distributor’s performance periodically and make recommendations for sales improvements and distributors’ motivation
• Participate or visit trade fairs worldwide
• Identifying & generating new business opportunities within assigned territory
• Visit clients of existing markets and potential customers in new market
• Working closely with IP Lawyer and Clients for taking action against infringer of company’s trademarks and products
• Perform any other duties or ad hoc projects assigned

• Degree Holder in Marketing / Business
• Travelling required
• Resourceful, meticulous and independent
• Energetic with high level of initiative and dedication
• Possess good communication and strong analytical skills
• Effectively bilingual in English and Mandarin. Other spoken language is an added advantage

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Opportunities to travel abroad for business purposes

Key Skills:

· Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

· In-depth knowledge with respect to Snowflake and its architecture.

· provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

· Should have the vision on data strategy and able to deliver the same.

· Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

· Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

· To evaluate and recommend data-related technologies, tools, and platforms.

· Collaborate with IT teams to ensure seamless integration of data solutions.

· should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Qualifications:

· Experience as a Lead – 5+ years.

· Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

· At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

· At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).

· Professional experience working in an agile, dynamic and customer facing environment is required.

· Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

· Understanding of data streaming and scalable data processing is preferred to have.

· Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

· At least 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

§ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

· Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

· Technical expertise with data models, data mining and segmentation techniques.

· Experience with full SDLC lifecycle and Lean or Agile development methodologies.

· Knowledge of CI/CD and GIT Deployments.

· Ability to work in a team in diverse/ multiple stakeholder environment.

· Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

Responsibilities:

· Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.

· Develop tools to improve data flows between internal/external systems and the data lake/warehouse.

· Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.

· Understanding existing data applications and infrastructure architecture

· Build and support new data feeds for various Data Management layers and Data Lakes

· Evaluate business needs and requirements.

· Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.

· Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.

· Able to document the processes and steps.

· Develop and maintain datasets.

· Improve data quality and efficiency.

· Lead Business requirements and deliver accordingly.

· Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.

· Collaborate with DevOps Engineer to improve system deployment and monitoring process.

Soft Skills

· Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.

· Ability to work in a dynamic, agile environment within a geographically distributed team.

· Ability to focus on promptly addressing customer needs.

· Ability to work within a diverse and inclusive team.

· Technically curious, self-motivated, versatile and solution oriented.

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data.
• Design and implement written code.
• Test data from source to the presentation layer.
• Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.
• Able to multi-task in a challenging technical environment to deliver high quality solutions.
• A meticulous team player who has proactive and positive attitude
• Excellent communication, interpersonal and presentation skills

Who we are

Decathlon is an international sporting goods creator and retailer with more than 60 in-house brands, sold through more than 1650 stores in 50 countries. Decathlon Singapore is looking for enthusiastic and proactive Data Interns to join our data team and create data-driven solutions relating to retail analytics, consumer analytics and sports analytics. You can expect to hone your data analytics skills and develop your data analytics journey here with us in this sports & retail industry!

What you will do

• Process, clean, and verify the integrity of data used for analysis
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design automated tools and dashboards that are user-friendly
• Assist different business units with data queries with SQL
• Apply data analytics and machine learning algorithms to the sports & retail Industry

Time Period

• Able to commit minimally 6 months, with potential conversion to full-time employment
• Able to start June / July 2024 onwards
• Please note that this is a full time internship position. 

Who you are

• Sport enthusiast and actively practicing a sport!
• You take energy in everything that you do; you express vitality and take initiative on your assigned tasks
• Proficiency in Python and SQL is required
• Good communication skills. Comfortable with collaborating cross-functionally – with people from different levels, backgrounds and experiences.
• Experience or coursework in statistical modeling, econometrics, data analysis.
• Experience with Tableau will be an advantage
• Experience with Databricks and Airflow will be an advantage

• Opportunity to work in an international, sporty environment
• Staff discounts across all Decathlon brands

By applying, you consent to the collection, use and disclosure of your personal data in accordance with our Privacy Policy (https://www.decathlon.sg/s/privacy-policy).

The Aviation Innovation Research (AIR) Lab

The joint CAAS-Thales innovation lab known as ‘AIR Lab’ started to operate on 1st November 2019 with the objective to develop Proof of Concepts (POCs) or Minimum Viable Products (MVPs) of advanced and open technologies for future Air Traffic Management (ATM). Currently, the joint lab employs a team of 40 Thales engineers and 12 CAAS engineers and air traffic controllers operating in a vibrant ecosystem involving a number of Singaporean SMEs and start-ups, as well as key research institutes.

Thales engineers include 10 domain experts – with more than 10 years of experience – coming from Thales ATM centers of competence in France and Australia. These experts are coaching both the local Thales and CAAS engineers. 

The POCs and MVPs are co-developed with the CAAS engineers who have access to the same development tools and environment used by the Thales Engineers (provided by the Singapore branch of Thales Digital Factory). The POCs and MVPs are defined in collaboration with CAAS air traffic controllers through iterative workshops.

AIR Lab research outcomes will feed the next generation of products, including clearly disruptive outcomes addressing Safety and Security for Open architecture, data driven ATM Twin, Green Aviation, Trajectory Based Operations. 

As the AIR Lab was recently extended for another 3 years, 4 work streams are now embarked: Regional Experimental Platform, FF-ICE/TBO, Green Aviation, Future-proof Interoperable Platform-Agnostic, Safe and Secure Platforms. These work streams are supported by the AIR Lab DataLake platform which provides data transformation and serving services in the cloud.

AIR Lab 2.0 continues to benefit from research conducted in Europe through new architecture research which, among other objectives, aims at meeting much stricter safety standards for ground ATM systems in development by the European Aviation Safety Authority (EASA). This breakthrough architecture study is co-funded by the French government (CASSIOPEA).

Regional Experimental Platform (REP) has been initiated in AIR Lab 1.0 and has the view to addressing regional needs in coordination with the SESAR 3 activities conducted in AMS France.

Who We Are Looking For

As a Cloud Data Architect in AIR Lab, you are seen by the members of your Data team to not only be a pillar of strength but a source of motivation and inspiration as well. You should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Plan, maintain and improve the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Assessment Office, Cybersecurity Office).
• Plan, maintain and improve the DataLake service levels for reliable data flow, health of infrastructure (i.e., computer and storage).
• Plan, maintain and improve the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Maintain and improve the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Plan, maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Mentor and coach the data team.

• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python, Scala, Go, TypeScript, C, C++, Java)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

• Salary: Up to $3000 + Completion Bonus
• Contract Duration: 12 Months with Flexi Benefits ($1500)
• Location: West, conveniently located near MRT Station
• Working Hours: Monday to Friday, 8.30am to 5pm

Responsibilities:

• Support daily laboratory operations with enthusiasm and dedication.
• Ensure seamless operations of sensory and skin care labs, including EEG work.
• Assist in sample preparation of test materials to maintain high-quality standards.
• Keep meticulous records of descriptive references for sensory test samples.
• Apply basic statistics for data analysis and contribute to insightful reporting.
• Tackle routine problems related to research projects with a proactive mindset.
• Utilize scientific research and critical thinking skills to conduct, record, and analyze experiments and fieldwork outcomes.
• Formulate cutting-edge skin care prototypes using company ingredients in our state-of-the-art personal care lab to support R&D efforts.
• Conduct thorough literature reviews and database searches to stay at the forefront of cosmetic science.

• Diploma in Perfumery and Cosmetic Science or Food Technology.
• Proven experience in customer-facing roles, showcasing excellent stakeholder management skills.
• Demonstrated expertise in data analysis and preparation of statistical reports.

Join us in revolutionizing the cosmetic science landscape! If you're ready to bring your passion and expertise to the forefront, apply now to be a key player in the innovative team.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661