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

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

We are seeking a highly motivated individual to join our team as a Customer Success Manager (Trade Finance). As a Customer Success Manager, you will engage the various financial, commodity and supply chain stakeholders to drive the digitalization in trade and contribute to overall efficiency of Singapore’s supply chain landscape.

Key Responsibilities

Ensure success for customers across their whole lifecycle

• As advocate for the Customer, define key business requirements, understand and anticipate Customer’s needs
• Lead commercial discussions with Customer to drive revenue for the company
• Plan and execute product and systems implementations (e.g. UAT, SIT, live production) to ensure smooth deployment
• Work alongside the wider team to implement solutions, ensuring that the product development, deployment, and Customer onboarding are delivered on time
• Support business outcomes for Customer helping them realize value from the product through continuous improvement in product design, delivery practices and customer satisfaction by understanding business needs
• Manage use case pipeline, account manage and act as point of contact for Customer’s feedback and issues
• Provide product knowledge to Customers and drive resolution in a timely and proactive manner
• Track and ensure realization of financial and non-financial targets and other strategic KPIs
• Drive and support expansion plan for existing use cases and drive user adoption
• Form strong relationships with customers, keeping them fully engaged and supported, liaising with both technical and business focused audience

Expand Customer base and Use Case adoption

• Work with existing Customers and stakeholders to drive Customer reference and prospects
• Deliver proactive customer contact strategy to engage, recruit and drive account growth
• Identify at-risk customer and execute remediation plan
• Overall responsible for the management of a portfolio of Customers to foster long-term business relationships

Be a key member of the team

• Have a Customer-first mindset and experience in delivering business outcomes
• Be highly collaborative and work across teams and stakeholders to deliver right outcome for customer
• Act as a role model for the team by always demonstrating the highest standards in business conduct; transparency, predictability, integrity and compliance
• Act as a company ambassador for internal and external events

Qualifications / Skills and Competencies

The ideal candidate would have

• ~ 5-10 years of relevant and current experience in structured trade and commodity finance products
• Proven track record for driving digitalization and/or process optimization in trade finance with passion for Digital solutions to address customer business problems
• Experience in key supply chain industry business processes with established network in various industry especially in the commodities sector. Bearing know-how of the nuances/ways of work related to trade finance transactions, credit facilities structuring, risk monitoring, supply chain financing
• Experience handling a portfolio of commodity clients including oil/energy, metals and soft commodities
• Strong business, trade and technology industry knowledge paired with an ability to “see the big picture” to identify the dependencies, plus the upstream and downstream impact of process enhancement
• Strong written and verbal communication skills. Ability to present comfortably and compellingly to senior audiences and to deliver difficult messages objectively to both internal and external stakeholders
• Strong ability to engage Customer and stakeholders with proficiency in aligning cross-topic objectives in multi-organizational set up
• Customer focused with strong interpersonal, negotiation and influencing skills
• Experience working in a team-oriented, dynamic and fast-paced environment
• Confident, self-motivated team player who thrives in a fast-moving environment
• Good understanding of software development principles and practices, and prior experience working with technical teams is a plus
• Prior sales or relationship management experience in commodity trade finance is a plus
• Prior experience and exposure to API, data platforms implementation is a plus

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

Responsibilities

• Relocate and replace parts for servers like mainboards, CPU and others
• Deliver IT parts to clients if needed
• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Performing & maintaining IT inventory list

Requirements

• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to relocate and replace server)
• Training will be provided

If you are interested, kindly apply through mycareersfuture.

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

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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

Job Description:

Join our team to support the operations of the Healthcare Cluster Data Warehouses and Data Lake. The Data Analyst will play a crucial role in investigating and resolving issues within SLA, focusing on ETL processes and data visualization using Oracle Analytics Server.

Key Responsibilities:

· Log, track, and manage all support tickets in the ticketing system.

· Collaborate with institutions and application teams to gather relevant information for analysis and execute the resolution process, ensuring timely closure of tickets.

· Conduct monthly and ad-hoc service requests for all tickets raised.

· Participate in internal and management meetings with functional analysts, institutional stakeholders, and Chief Medical Information Officers (CMIOs) to provide updates and insights on ongoing issues and resolutions.

· Monitor application performance and identify areas for improvement.

· Perform validation of data warehouses after scheduled maintenance to ensure they are functioning correctly.

Requirements / Qualifications:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or a related technical/scientific discipline.

· 1-3 years of experience in data-related support roles, with a focus on ETL and data visualization.

· Familiarity with Oracle Analytics Server (OAS), Tableau, and Informatica PowerCenter is highly desirable.

Skills:

· Strong analytical and problem-solving abilities.

· Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders.

· Proven ability to work collaboratively in a team-oriented environment.

· Detail-oriented with exceptional organizational skills.

Director, Data & Technology, eDiscovery, Singapore

Ankura is a team of excellence founded on innovation and growth.

Our eDiscovery team sits within the Data & Technology practice which is one of seven practices focused on client delivery services across the Firm.

Practice Overview:

The eDiscovery practice is commonly engaged to assist financial investigations, litigations and disputes, turnaround and process improvement engagements, and other critical business issues. The eDiscovery team specialises in designing and implementing processes that help clients reduce their data and review volumes. Our professionals provide workflow design and strategy for keyword search, workflow assignment setup, content analytics, conceptual search/clustering, and predictive coding, and work with clients to efficiently extract and effectively analyse client data.

We help businesses, government entities and law firms to address their most complex and pressing concerns and make well informed decisions, using some of the most advanced technology, tools and techniques.

The team’s consulting experience involves large, diverse, and often incomplete data sets across client enterprises including email, servers, cloud storage, social media, mobile devices, instant messaging and collaboration tools. The team collaborates with cybersecurity, computer forensics, data analytics and investigatory experts to assess and respond to both the quantitative and qualitative aspects of problems.

Your role will involve working collaboratively with and learning from our diverse and knowledgeable team that has a wealth of experience in delivering excellent service to our clients.

Role Overview:

As Director, you will manage and project lead more junior members of the team to become familiar with the clients' big-picture objectives and challenges. You will ensure the execution of critical project deliverables to ensure these objectives are met on time and with the highest quality. You will be responsible for designing and executing efficient and innovative workflow solutions to address our client’s issues.

Responsibilities:

Your responsibilities will include, but will not be limited to, the following:

Business Development:

• Generate business development leads for Ankura’s eDiscovery | Data & Technology practice.
• Leverage existing relationships and develop new ones with legal practitioners from Law Firms and Corporations that have the potential to utilize Ankura’s eDiscovery and broader Data & Technology practice’s services.
• Educate clients and prospects regarding the full range of Ankura’s Data & Technology services via on-site client visits, conferences, events, etc.
• Increase revenue on current engagements by identifying opportunities to cross sell services offered by Data Analytics and Digital Solutions & Development teams.
• Develop and maintain an accurate list of prospects/clients as well as related pipeline and funnel activities on a regular basis within Ankura’s CRM database.
• Attend and participate in key industry conferences and Ankura-sponsored client events.
• Maintain appropriate post-sales/retention contact with clients to ensure quality assurance as well as solicitation of future business.

Collections/Pre-Processing:

• Assist clients with finding, documenting and preventing deletion of data potentially relevant to litigation, regulatory matters, or critical business operations.
• Develop solutions and strategies to collect data with special considerations for the unique environment and project specific complexities of an engagement.
• Coordinate forensic collections with client and Ankura’s forensics team and quality review collections documentation supplied by the forensics team.
• Create and recommend pre-processing strategy to client.
• Coordinate forensic pre-processing work (deNIST, file filters, etc.) with the Ankura’s forensics team, including documenting pre-processing workflow.

Processing:

• Advise client on data reduction strategies including deNISTing, file extension filtering, date culling, and search term filtering.
• Coordinate (provide instruction, obtain status reports, etc.) processing work with Ankura’s processing team.

Review:

• Assist clients with the selection of the appropriate technology to meet specific project objectives.
• Assist with development of efficient work streams, batching strategy, and technology configuration for 1st, 2nd, 3rd tier review; as well as witness review, exhibit designation, and trial preparation.
• Advise clients regarding the efficient use of concept clustering, near duplicate identification, e-mail threading, and assisted review (predictive coding) within the Relativity tool.

Production:

• Assist with written collateral to support production process, such as motions, orders, or proposals to courts and opposing counsel regarding the form of production.
• Provide proactive guidance regarding format, strategy, and timelines for production of electronic data.
• Work with client to develop production identification strategy.

Specific general managerial tasks include:

• Assist in the management of finances of each engagement including developing, documenting, and tracking project budgets, adjusting budgets as appropriate, communicating changes in budgets internally and to the client, and managing the revenue forecasting and invoicing process.
• Review and discuss expectations, anticipated scope of work, and project timeline with client and Ankura’s team
• Manage project close-out process including data return and database archival, ensuring that clients understand the implications of on-going data retention relative to their company’s policies.
• Provide clients and Managing Directors and Senior Managing Directors with periodic status updates, reports, etc. throughout the engagement.
• Generate consistent and thorough documentation to support processes executed throughout the project lifecycle. Specific tasks may include writing up interview notes and drafting emails, memorandum or reports that demonstrate specific processes followed.
• Mentor, lead, and delegate tasks to junior grade colleagues to support their training and professional development with the goal of creating an exciting leveraged, team environment that offers challenging opportunities and support to all employees and is poised for continued expansion and success.
• Assist in the recruiting process by screening resumes and interviewing candidates.
• Supervise personnel including Associates, Senior Associates, client personnel, clerical support, and others as appropriate.

Requirements:

• Minimum of a bachelor’s degree. Preferred degree in computer science, finance, accounting, economics, information technology, forensics, data analytics, or work experience in a related field.
• Possess strong quantitative and qualitative research and analytical skills.
• Familiar with the EDRM and experience in using eDiscovery products / tools:
• eDiscovery Review/Processing Platforms: Relativity, Brainspace, Disco, Catalyst, Zylab, Everlaw, CasePoint, Nuix, Law, Eclipse, or comparable.
• Forensic Software: EnCase, Cellebrite, Oxygen, BlackBag, FTK.
• Database/Programming: Microsoft SQL Server, SQL, Microsoft Access, Visual Basic, Python, R. With a strong preference for SQL and Python.
• Email Systems: Office 365, Microsoft Exchange, Lotus Notes/Domino, eVault, email archive platforms.
• System administration experience in Microsoft, Linux/Unix, or Macintosh;

Core consulting skills

• Hold strong team-oriented personality characteristics: hard-working, thoughtful, and collaborative, with a positive outlook and confidence.
• Experience of managing individuals or small teams.
• Highly motivated, eager to learn and able to motivate others.
• Ability to utilise technology to solve complex problems.
• Ability to demonstrate excellent communication (written and verbal) and organisational skills.
• Ability to adapt quickly in handling multiple/evolving tasks as a result of new engagements and/or re-prioritised deadlines.
• Ability to produce high quality and/or final work product under strict deadlines.
• Fluent in English and Mandarin is essential.
• Willing to travel nationally and internationally, which could involve a few weeks at a time as engagement duration can range from a week to months.

Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email [email protected] or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

The candidate is part of the Data Loss Prevention (DLP) project and operation team. He/she will be reporting to the DLP Team Lead and be assigned with project and operational work and responsibilities which includes but not limited to, processing requests, investigate operational issues and facilitate security investigation by providing the necessary information in accordance with approved policy and procedures as well as process improvement.

• Diploma/Degree in Computer Science, Engineering or equivalent
• At least 8 years of experience in IT Incident Management, Data Loss Prevention Operations or SOC
• Good team player as well as strong communications skills
• Strong analytical skills and ability to work independently

You will be part of a dynamic team to drive growth in designing, managing and developing a Regional Data Warehouse Platform with various local and remote teams to generate insights and reports of the OTT business. Reporting to Assistant Lead, Data Innovation, you will be involved in improving/maintaining the data platform, AI/ML innovation projects and creating insightful dashboards.

Key Responsibilities

• Build and support Google Cloud Platform CDP, AI/ML and Big Data Projects
• Explore / Reconcile data using various open-source tools and/or cloud tools to generate business insights
• Work on insightful dashboards for business and operations
• Work on PoC and AI/ML projects within the group and with 3rd parties
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Design, code and test data systems and work on implementing those into the internal infrastructure or cloud platform
• Build scalable data pipelines to extract, transform, load and integrate data
• Develop codes and scripts to process structured and unstructured date in real-time form a variety of data sources
• Test data pipelines for scalability and reliability to process high data volume, variety and velocity
• Consolidate and create storage solutions for storage and retrieval of information of regional data
• Gather data and generate business insight requirements by working with local Content, Marketing and Integrated Sales teams

Requirements

• Bachelor degree or Diploma in Computer Science or Computer Studies.
• 1 - 2 years' Data Analysis experience
• Experience in Go/Python programming as well as in AI/ML
• Has prior experience in Data modelling, API integrations, statistics, forecasting, DML, DDL, DQL, DCL or TCL
• Familiar with or willingness to learn Google Cloud and open to explore / PoC on other cloud platforms.
• Confidence in writing SQL or willingness to improve SQL skill
• Experience or willingness to learn modern software development lifecycle, CI/CD
• Open to learn new technologies to achieve best practices

Desired:

• Experience in creating ETL workflows, using Airflow or similar open source projects.
• Experience in real-time or near real-time data ingest at Google Cloud Platform or similar.
• Willingness to learn or working experience of one or more of the followings: Serverless Data Pipelines, Asynchronous Messaging Services, Cloud Object Storage, Cloud Scheduling Systems, Fully Managed Data Workflow Orchestration Services, Multi Cloud Data Warehouses, Serverless Workflow Orchestration and VPC Networks.
• Experience in AI/ML projects and/or research, such as BQML, Vertext AI and Auto ML.

Responsibilities

• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Replace parts for servers like mainboards, CPU, RAM, HDD/SSDs, network linecards / modules, transceivers and cables
• On-site support for IT related issues at customer office
• Performing & maintaining IT inventory list
• Deliver IT parts to clients if needed

Requirements

• Nitec in Computer Science, Engineering, Information Systems or related fields.
• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to replace server)

If you are interested, kindly apply through mycareersfuture.

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

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Summary

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire world. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you ready to be part of a team that turns innovative ideas into extraordinary products and experiences? The Apple Services Engineering - Experimentation data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines for our search and recommendations features. Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Description

This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.

Minimum Qualifications

• Bachelors in Computer Science/Engineering or related field
• 3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools
• Proven experience working on big data systems and distributed computing, such as Hadoop and Spark
• Experience with programming languages such as Scala, Spark or Python
• Experience maintaining a large software system and writing a test suite

Preferred Qualifications

• Proficiency in using query languages like SQL, Hive and SparkSQL
• Experience with entity-relationship modeling and understanding of normalization
• Experience with sessionization of clickstream and time-series data is a plus
• Familiar with the concepts of dimensional modeling
• Experience with Continuous Integration, Version Control such as git
• Experience with data visualization tools, such as GGplot, etc
• Deep understanding of data structures and common methods in data transformation
• Keep up-to-date with the newest technology trends
• Working with software engineering teams to improve data collection procedures
• Processing, cleansing, and validating the integrity of data used for analysis
• Engineer code that is durable and reliable
• Performance tune and optimize code as data grows and needs change
• Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams
• Showcase real passion for visualizing and making sense of data analysis

What will you be doing?

Your responsibilities will include:

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

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

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

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

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

Job Scope:

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

Requirements:

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

Working Hours:

Mon - Fri: 8.30am-5.30pm

Contract Duration: 1 month starting from November 2024

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Duties & Responsibilities

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

• Experience:
Nil

About the team:

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

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

Job Responsibilities:

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

Job Requirements:

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

Where you fit in

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

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

What’s the role?

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

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

Your accountabilities will also include:

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

What we need from you

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

Furthermore, we hope to see the following:

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

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

Company Description

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

An innovative place to work

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

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

An inclusive place to work

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

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

A rewarding place to work

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

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

Job Summary:

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

Key Responsibilities:

1. Data Analysis and Interpretation:

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

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

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

2. Market Research and Competitive Analysis:

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

• Benchmark company performance against industry standards and competitors.

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

3. Insights Development:

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

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

4. Client Engagement:

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

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

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

5. Stakeholder Collaboration:

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

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

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

Qualifications:

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

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

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

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

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

• Experience in client engagement and relationship management.

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

WHAT YOU'LL DO

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

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

WHAT YOU'LL BRING

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

Ideal candidates have the following experience/skills.

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

MEET YOUR TEAM

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Duties & Responsibilities

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

Qualifications

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