We are looking for a Recruitment Co-ordinator to support our Regional Talent Acquisition Team. This is an excellent opportunity for a candidate looking to develop their career in recruitment and gain exposure to all elements of the recruitment function. You will support the business to deliver a timely and efficient recruitment process.

With previous experience in recruitment coordination within a busy recruitment function, you will have excellent attention to detail. You will take pride in ensuring accuracy, speed of delivery and a smooth employer/candidate experience. You'll be professional, confident and approachable to build relationships of trust across the company and deliver efficient and high-quality service to staff and managers. You will take responsibility for ensuring a great recruitment process, from scheduling phone screens to organising candidates for testing and arranging interviews.

• Assist in the end-to-end hiring process, including but not limited to sourcing, recruiter phone screening, interview scheduling, etc.
• Assist and coordinate campus recruiting events such as career fairs and corporate visits to maintain consistent employer brand presence on campus.
• Ensure a great candidate experience through timely responses and advocating Argus as an excellent workplace for all candidates.
• Manage job posts in the Applicant Tracking System and externally to various career sites and university job boards.
• Collaborate proactively with recruiters and hiring managers to assist in interview scheduling and facilitating assessment tests.
• Support the maintenance of the applicant tracking system through consistent updates of candidate profiles and status.
• Involvement in local government Recruitment Practices projects/reports.
• Ad-hoc assistance in other recruitment-related matters

What we’re looking for in you

• · Previous recruitment experience (agency/in house) or a strong administration background.
• · Experience administering a candidate database or applicant tracking system will be a bonus.
• · are proficient in Excel and other Microsoft Office (Word, Outlook, PowerPoint).
• · are customer service focused, proactive and collaborative team players.
• · have the ability to multi-task, effectively prioritize tasks and responsibilities, and effective time management.
• · able to maintain confidentiality of sensitive HR information.

What’s in it for you

• · Work within a highly motivated team at an industry-leading and rapidly growing global company
• · A modern office environment designed to foster productivity, creativity, and teamwork
• · Excellent location at Raffles Place in central Singapore – close to public transport and amenities
• · Hybrid working model
• · Comprehensive benefits package including medical (GP and specialist), dental and hospitalisation.
• · 20 vacation days your first year, up to a maximum of 25 days
• · Extensive internal and external training
• · Employee Welfare & Employee Assistance Programme

Hours

Monday through Friday, 9.00 a.m. to 6.00 p.m.

Earlier or later hours, or weekend hours, may be expected on occasion.

We're not engaging any recruitment agencies for this role, so if you're interested, please apply directly.

IT Project Manager - Manufacturing execution systems (MES) & Data Warehouse - Contract

Job posting done by Sheralynn Tjioe, Head of Interim and Contracting Solutions (Technology) Recruitment at Kerry Consulting

Email: [email protected]

My Client is a leading stable firm in Singapore.

Job Summary:

As the IT Project Manager, you will oversee the successful delivery of designated IT projects, ensuring their coordination and managing interdependencies. This role is essential for maintaining focus, enthusiasm, and momentum across key projects while ensuring their overall integrity and coherence. You will establish and maintain a project environment tailored to each project’s needs, often through an effective project management office.

The two main projects:

Manufacturing Execution System (MES) - Project Management of revamping and refreshing the legacy systems and upgrading it.

Data Warehousing - Oversee the migration from onprem to cloud, creating data warehouse and create master data.

You will be the project manager managing the third party vendors.

The ideal candidate will have experience in sectors such as Manufacturing execution systems (MES), ERP, Manufacturing, Distribution, IT applications, Infrastructure, and Operations.

Must have:

Currently in a manufacturing MES industry with data warehouse experience

Currently a project manager (PMP)

Experience in Data Warehouse (ie platform) and MES (manufacturing execution system) software.

Responsibilities:

Develop and implement project management governance and structure within larger projects, actively monitoring progress, resolving issues, and taking corrective actions as needed.

Ensure effective quality assurance and maintain the overall integrity of projects, focusing internally on consistency and externally on alignment with infrastructure planning, interfaces with other projects, and corporate standards.

Manage project budgets, monitoring expenses and costs against delivered benefits as projects progress.

Facilitate the selection and assignment of individuals to project teams.

Ensure new products or services from projects meet quality standards, are delivered on time, and within budget, in accordance with project plans and governance.

Allocate common resources and skills across individual projects.

Manage contributions from third-party entities to projects.

Maintain communications with all stakeholders.

Identify and manage risks to ensure successful project outcomes.

Initiate additional activities and management interventions as necessary to address project gaps and emerging issues.

Provide regular progress reports on projects to relevant stakeholders.

To Apply

For a confidential chat regarding your next Technology role, please submit your resume (in MS Words format) to Sheralynn Tjioe at [email protected], quoting the job title. We regret that only shortlisted candidates will be contacted.

Registration No.: R1878306

License No.: 16S8060

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 Department of Statistics and Data Science is seeking a dynamic and versatile Research Assistant who can act as Data Operations Specialist, AI Innovator, and Cloud Architect to play a pivotal role in the Department's digital transformation in education, research infrastructure and administration.

In addition to architecting and managing cloud resources, the selected candidate will be responsible for creating synthetic and sourcing for real-world data, repository management, optimising departmental procedures, and developing complex Large Language Models (LLMs) to enhance data access, summarisation, and search capabilities. This multifaceted role offers a unique opportunity to drive innovation and efficiency across our initiatives in education, research and administration.

Qualifications

• A bachelor’s degree in computer science, mathematics, statistics, or a related field.
• Proficiency in SQL and Python.
• Knowledge of Big Data frameworks.
• Strong analytical skills and hands-on experience with BI tools, including data visualization platforms like Tableau or PowerBI.
• Experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Exceptional communication and teamwork skills for effective collaboration with cross-functional teams and stakeholders.
• Robust analytical and problem-solving abilities to tackle complex architectural challenges.
• Basic project management skills to manage timelines, budgets, and resources efficiently.
• A passion for Machine Learning, especially in the context of Large Language Models like ChatGPT.
• Possession of relevant cloud certifications and experience with DevOps/MLOps practices would be considered an advantage.

• Tuas
• Mon – Fri 8:30-6:00 | Sat 8:30am-12:30pm
• S$ 2,400 before Probation | S$ 2,600 after Probation

Job Scopes:

• Receive and enter daily business orders into the system.
• Coordinate with warehouses and business groups to arrange product shipments.
• Perform daily administrative tasks.
• Assist in managing shipments and conducting regular inventory checks.
• Occasionally visit customers to assist with order processing and after-sales service

Requirements:

• Proficient in using office software such as Word and Excel
• Experienced in handling business documentation and clerical work

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee (Ashley) Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

We are looking for talented Data Engineers, who will join our Data Team and help us build state-of-the-art data engineering capabilities powering the future of our car sharing platform.

BlueSG is the first point to point car sharing service in Singapore. We are optimistic about the future of car sharing and EV and have exciting growth plans in Singapore and beyond. BlueSG strongly believes in a data-driven approach to our business, actively using data to optimize our operations, make critical business decisions and understand what is best for our customers. Data team plays a critical role in this which you will be a part of.

Roles and Responsibilities

● Collaborate with DevOps and Business Intelligence teams to establish a common data processing and analytics platform and best practices.

● Work closely with data scientists and software engineers to support the analysis of data, and the development and validation of models.

● Design and implement data storage solutions to ensure data quality, availability, and scalability.

● Monitor the performance of the data infrastructure and implement optimizations to improve efficiency and reduce costs.

● Participate in technical discussions across the team through code reviews, RFC, or architecture review sessions.

Requirements

● At least 2 years of experience working as a data engineer or similar.

● Good understanding of Agile and DevOps practices: version control, CI/CD, Infrastructure-as-Code, containerization, observability/monitoring.

● Experience building data infrastructure to address the needs of business and data teams. Strong knowledge of data architecture, data modeling, and data warehousing.

● Deep familiarity with data processing systems such as Airflow, Dagster, Flyte, Spark, DBT, or similar and data cataloging tools such as Atlas, Amundsen, DataHub, or similar.

● Deep familiarity with SQL (PostgreSQL preferred) and NoSQL databases (Redis, Elasticsearch preferred).

● We use AWS, so familiarity with its data analytics services and databases, e.g., Redshift, Athena, Glue, EMR, etc. Also, familiarity with data platforms such as Sagemaker, Dataiku, Databricks, Datarobot, or similar.

● Experience with data visualization and reporting tools like Metabase, Tableau, PowerBI, or Looker.

Preferred Qualifications

● Hands-on experience supporting high-traffic consumer apps.

● Experience with real-time data processing using Kafka, Flink, or similar tools.

● Data science, MLOps, or related education or work experience.

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

The Role

As Lead Data Steward/Data Governance Manager, you will manage and safeguard data assets within the data governance framework. You will focus on maintaining data quality, usage and compliance, ensuring that data lineage and governance policies are upheld. You will collaborate with data stewards across various domains to design and enforce data quality rules and support the operationalization of data governance processes.

Job Responsibilities

• Implement data stewardship principles that align with the data governance framework and policies.
• Work with various business units/Data Stewards to create and enforce data classification, validation processes and data quality rules/solutions and assist in addressing issues across various domains, including risk, finance, AML/KYC, and customer data.
• Document and maintain data governance processes and reporting mechanisms.
• Support data lineage activities to ensure data traceability and integrity.
• Assist the designing, implementing and adopting of data governance tools such as Collibra.
• Ensure compliance with regulatory standards, including BCBS 239, in all data governance activities.
• Promote best practices in data governance and encourage a data quality and stewardship.
• Provide training and support to Data Stewards and stakeholders on data governance practices.

Job Requirements

• Bachelor's degree with 4-6 years’ experience in data-related disciplines (e.g., Data Governance, Data Management, Regulatory Reporting, Data Warehouse, Data Lake, ETL, or Data Architecture)
• Professional certification in data governance (e.g., CDMP, Collibra, DGSP, CIMP), risk management (e.g., GARP, PRIMIA) are a plus.
• Proven experience in data stewardship and governance within the banking sector
• Ability to design and implement data quality rules and resolve data issues across various domains, including solid knowledge and practical implementation experience in regulatory compliance requirements.
• Strong understanding of regulatory requirements for a bank, including regulatory reporting, BCBS 239.
• Hands-on experience with data governance tools, particularly Collibra, and knowledge of other DG tools (e.g., Alation, Informatica, etc.) and automation tools (e.g., Alteryx, etc.).
• Excellent documentation and process management skills, collaborative mindset, and strong interpersonal and communication skills to work effectively with diverse teams.
• Having experience in banks or consulting firms advising banking clients on implementing data governance frameworks and tools, ensuring alignment with regulatory requirements and business objectives, and involving practical work is valuable.
• Excellent communication, interpersonal and presentation skills.
• Work location: One@ChangiCity.

Roles and Responsibilities

Delivering and maintaining an agency-wide data warehouse and analytics project using AGILE software development methodology.

· Plan and coordinate the development of business cases, ensuring that projects are executed to meet identified business needs and outcome, within agreed parameters of cost, duration and quality.

· Handle the timely project execution for implementation and procurement activities of digital systems.

· Assess and apply the appropriate project management methodologies, such as Agile practices, to ensure project success.

· Identify potential project risks and the implications to the organisation and recommend mitigation measures and remediation plan.

· Actively engage and motivate various key partners to deliver and effect positive change in our digital products.

Knowledge and Skills

· At least 5 years of relevant working experience as a Project Manager in at least 2 full project development life cycles, with at least one using Agile Methodology.

· Strong vendor management and personality.

· Good in analytical analysis, conceptualisation and problem-solving skills.

· Team player and be motivated by innovation to achieve tangible business outcome

· Willingness in picking up new knowledge and take thoughtful risks, with an adaptable and enterprising personality.

· Strong presentation skills, both written and verbal, to positively influence key partners.

· Experience in leading projects for the implementation of data platforms such as SQL and Aurora Postgres database will be an advantage.

· Familiar with data warehouse/lake solution, Microsoft technologies, Business Intelligence, CI/CD pipeline will be an advantage.

· Passionate in championing the team to continuously improve and deliver quality software product.

Responsibilities:

• Support the organisation's data centre services through monitoring and management for system, network and facilities
• Perform computer operations including account and tape management
• Incident management and act as escalation point to any facilities and system / network
• Manage and administer the service desk operations
• System alert monitoring and perform necessary escalation
• Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
• Assist in planning and execution of disaster recovery activities
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Review of the data centre operations and report any gaps and issues
• Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Reg. <R1548745> <Teoh Shiau Swang>

Research Projects

• Work with team members to engage internal stakeholders to identify potential research projects based on their needs.
• Assist the project lead in carrying out the project. Activities may include collecting and analysing data on stakeholder sentiments and behaviour, conducting workshops to develop solutions and carrying out trials.
• Assist the project lead to update and present findings and recommendations to internal stakeholders.
• Assist the project lead in administrating the project including procurement and budgeting.

What we are looking for

• Tertiary qualifications in Social Sciences, Statistics, Economics, Communications or related disciplines (those without a degree and with relevant experience and expertise may also apply)
• Experience in qualitative and quantitative research or planning, preferably in a communications or marketing environment.
• Knowledge of behavioural insights or behavioural economics is an added advantage.
• Good writing and verbal communication skills with strong analytical and conceptualisation abilities
• Good project management and interpersonal skills
• Ability to work independently, within teams, able to multi-task and adapt to change
• High level of proactivity.
• Prior experience in a communications or marketing agency is an added advantage.

Should you be interested in this position, please contact Juliana at 9230 6374 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879595 Juliana Lin Yuzhen

At least 5 - 6 years’ experience in developing, implementing and maintaining IT systems

Position Summary / Project Description

ETL (Informatica BDM/DEI) with Data Model experience. He/she will co-lead ETL developers.

Role and Responsibilities

• Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology.
• Performs analysis, design and development of ETL processes to support project requirements
• Design and develop complex Informatica ETL mappings, sessions, workflows and maintain existing ETL/data warehouse processes.
• Prepare technical design specifications based on the projects and change request assigned.
• Conduct system integration testing and create test cases to ensure data quality prior to implementation.
• Resolve issues raised during user acceptance testing.
• Evaluate potential technical solutions and make recommendations to resolve business problems.
• Work with business partners during system implementation and manage post implementation support.
• Provide on-going support (24x7) to various applications running in the data warehouse if required.

Technical Skills:

ETL: Informatica Data Engineering Integration/Big Data Management, Informatica Powercenter, SAP BODS

Business Intelligence: Oracle Business Intelligence (OBIEE), Tableau

Databases: Oracle, Microsoft SQL Server, Teradata

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent.
• Technical skills in order of priority: Informatica BDM/DEI, Informatica PowerCenter, Strong SQL, Oracle, SQL Server and Teradata Experience.
• Minimum Seven (7) to eight (8) years’ experience in ETL Development and Data Integration.
• Strong analytical and problem solving skills.
• Strong understanding of ETL Development best practices, strong understanding of Data Lake and Warehouse Concepts, Performance Tuning in SQL and Informatica
• Proven ability to work independently in a dynamic environment with multiple assigned projects and tasks.
• Outstanding ability to communicate, both verbally and in writing.
• Ability to develop complex mappings and workflows in accordance with requirements
• Exposure to hospital information / clinical systems is an added advantage.
• Experience in using business intelligence tools (e.g. OBIEE, Tableau, etc.) is an added advantage.
• Experience in Vendor Management is an added advantage.

Please note: Only shortlisted candidates will be contacted

EA Registration No. R1871815 (Saravanan)

EA License No. 01C4394

**By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.**

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented data scientist who can take initiatives, design and develop advanced data-driven solutions. A successful candidate will have good quantitative analysis skills, data sense and hands-on capabilities. And you will take pride in working with engineers, product and business partners to identify and solve the most challenging safety and trust problems in Tiktok.

Responsibilities - What You'II Do

1. Improve the trust and safety strategy of live/video service by various strategies

2. Perform deep dive analysis into specific problem spaces by attribution analysis, provide knowledge that will guide strategy in algo model improvement

3. Work with vast amounts of data and convert insights into intuitive, actionable results that will drive strategy and decision-making.

4. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem.

5. Collaborate with cross-functional teams including Algo, Engineering, Product, and Operations, QA to deploy and improve solutions.

6. Design experiments, implement them, and follow-up on results.

7. Identify new sources of data and methods to improve data collection, analysis, and reporting.

Qualifications

1. Bachelor's degree in Computer Science, Statistics, Data Science, Operations Research or a related field. An advanced degree(Master's, PhD) is preferred.

2. Excellent ability to analyze and solve problems, full of passion for solving challenging problems.

3. Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc.

4. Excellent understanding of the principle of machine learning/deep learning algorithms/LLM is preferred.

5. Experience as data scientist/algo engineer in large Internet companies is preferred.

6. Good communication skills and enjoy working with diverse teams globally.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

WHAT YOU'LL DO

As a data-driven solutions team we are looking for a 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.

• 0 - 3 Years of experience and a 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, both verbal and written communication skills

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.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Our Data Science team is a diverse group of problem solvers, located in Singapore, China, Canada and US, who are passionate about translating complex data into clear, actionable insights. By pioneering state-of-the-art data science techniques and fostering a culture of data-driven decision-making, we aim to unlock unprecedented growth opportunities and operational excellence. We are responsible for developing innovative methods, models and algorithms to ensure the supply of high-quality and diverse data for both SFT and Pretraining of LLM/VLM.

Responsibilities

1. Design and develop data collection pipelines to gather and preprocess diverse datasets from various sources.

2. Design and develop data processing pipelines, including data labeling, data filtering, data cleaning, data visualization, data auditing, etc.

3. Implement machine learning models to improve the quality and diversity of data.

4. Develop machine learning models and algorithms to detect the issues of the current moderation system and also the TikTok ecosystem.

Qualifications

1. Major in computer science, or any other related technical discipline;

2. Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing).

3. Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.

4. Proficiency in at least one deep learning framework, such as PyTorch.

5. At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, multimodality, LLM.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Overview:

Part of CFS’s Technology and Transformation team, the role holder is integral to CFS transformation efforts in working on key initiatives to drive digitisation and data analytic capabilities aligned with CFS’s business growth.

As CFS embarks on its digitation effort, the Product owner is a key contributor to drive and support CFS’s transformation initiatives such as Donor Portal and Data Analytics which are strategic outcomes aligned to CFS multiyear transformation roadmap.

The role holder will act as Digital product owner of CFS Donor Portal and provides hands-on technical and functional input to design, maintenance, build, integration and testing of the Donor Portal platform by partnering with CFS stakeholders, vendors. Post system launch, the Digital Product Owner will work with key internal stakeholders in driving communication, target operating model and training to increase adoption to new system features as well as identify/deliver continuous enhancements to the systems/platforms.

The role holder will also act as a Data Product Owner who, with good data science, project management, and business analysis skills, helps to drive the data analytic capabilities building within CFS including developing a strategy for CFS and identify feasible product/tools that are required as part of CFS data analytics transformation. This will also subsequently include the execution phase of the transformation roadmap.

Responsibilities and Duties:

Digital Product Owner

• Lead / support CFS key initiatives to transform Donors and Grantees experiences, increase overall productivity of the CFS business process /operations as well as to create a culture of continuous improvement
• Support CFS Management (HoDs) team to transform Donors and Grantees experiences, and overall productivity of the CFS operations as well as to create a culture of continuous improvement.
• Coordinate CFS internal stakeholders (PE, CAP, C&G and Business Operations) to understand the challenges and business requirements.
• Propose and internally implement system enhancements and process changes in meet the needs of stakeholders.
• Perform RFI and maintain account relationship with selected Vendors to support business needs. Negotiate contract terms and costs with Vendors.
• Translating delivery requirements from stakeholders into technical document for to external Vendor. Proof read/edit technical documentation, UAT test solution provided externally.
• Educate and answer queries of front-end users in Organisation on data system function and enhancements possibilities. Support key change initiatives and their subsequent implementations.
• Interface with Stakeholders and vendors on issues resolutions and organisation improvements.
• Conduct training to relevant staff post system implementations and ensure effective communication / bedding of changes to the organisation. Work closely with Marketing team, across departments to generate excitement and support for the continuous improvements and mindset change.

Data Product Owner

• Incorporate greater automation to BAU reporting/operation processes:
• Data ingestion from donors and grant receivers
• Report generation (including but not limited to new funds established, payout rates, grant disbursement, donation breakdown)
• Sanity checks on data for outliers to maintain accountability.
• Support internal data sanitisation effort and reconciliation on historical data
• Implement system solutioning to ensure clean data ingestion and meaningful reports generation going forward. Create new ways to meaningfully show trends/patterns using existing data and present findings to upper management.
• Prepare reports for Management team with data insights on trends, pattern and prediction using relevant dataset for:
• Annual Report
• Board and Sub-Committee update report.
• Departmental quarterly report
• Research on products, data analytic strategy
• Identify gap around the existing data and level of digitisation
• Create new ways to meaningfully show trends/patterns using existing data
• Perform analysis to assess the quality and meaning of data.
• Prepare reports for Management team with data insights on trends, pattern and prediction using relevant dataset.
• Work with vendors, skill-based volunteers to implement data analytic solution/system to enhance CFS data analytic capabilities – giving impact, understanding donors as philanthropists, organising reports from charities for research-based reports where required

Candidate Requirements:

Competencies:

• Communicates Effectively
• Relationship Management
• Adaptability
• Tenacity
• Drives for Results
• Problem Solving / Critical Thinking
• Customer Focus
• Teamwork nd Inclusion
• Self-Awareness
• Work independently, takes ownership of problems within own area of knowledge and accountable for the quality of own work

Demonstrated Abilities:

• Exceptional organizational skills and the ability to manage multiple priorities
• Ability to exercise sound, independent judgment
• Fierce determination to successfully meet complex challenges
• Learning agility: the ability to give up skills, perspectives and ideas that are no longer relevant and acquire new ones that are
• Strong oral and written communication skills
• Professionalism, confidentiality, empathy, customer service orientation, discretion and proper telephone skills are essential
• A strong understanding of the business domain, coupled with technical acumen, is necessary.

Acquired Knowledge:

• Bachelor's Degree strongly preferred
• Requires 3 to 5 years of experience in transformation project
• Experience in being part of change / transformation work in organisations
• Good business analytical skills, bridging between business and development teams.
• Able to work independently with minimum supervision as well as in a team.
• Experience in the nonprofit sector is highly valued

We regret that only shortlisted candidates will be notified.

Job Summary

An exciting opportunity to be part of the Enterprise Data Delivery team and to drive various Digital Data initiatives within the banking industry.

Mandatory Skill-set

• Degree in Banking, Business, Finance or Economics, Information Technology,
• At least 5 years of working experience in project management or PMO management experience in the banking industry;
• Exhibit a comprehensive grasp of project governance processes and a command of Project Management best practices;
• Strong understanding in data management and data governance principles;
• Well versed in SQL database management and query;
• Has strong analytical and problem-solving skills with attention to detail;
• Exceptional stakeholder management skills and ability to manage project team members across multiple locations, countries, and time zones for project delivery;
• Excellent communication skills, emotional intelligence, and ability to influence key decisions, mediate conflicts, and build consensus both internally and externally;
• Strong skills in communication, consulting, negotiation, and conceptualization.

Desired Skill-set

• PMP or Scrum Certified;
• Experience in change management .

Responsibilities

• Responsible in planning, supporting, monitoring and tracking project activities, assessments, within the bank related to data monetization initiatives;
• Provide project management support by collaborating with multiple teams in ensuring that the project is completed on time;
• Provide support in generating the relevant project management artefacts and documentation;
• Understand the data landscape including systems, business process and data flows requirement to support bank-wide data monetization initiatives;
• Support the business units team leaders in the project management process updates and communicating to senior management;
• Promote/Enable changes and incubate data monetization culture and agile development methodology with the bank.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Position Overview:

We are seeking a highly skilled and experienced Head of Data Analytics to lead our data analytics team in APAC. The ideal candidate will have a strong background in data analysis, a deep understanding of the forex trading market especially in Australia and APAC region, and the ability to drive strategic decision-making through data insights. This role is critical in shaping our data-driven strategy and enhancing our competitive edge in the forex trading industry.

Responsibilities:

Leadership and Strategy:

• Lead and manage the data analytics team, fostering a culture of innovation and excellence.
• Develop and implement a comprehensive data analytics strategy aligned with the company's goals and objectives.
• Collaborate with senior management to identify key business opportunities and challenges, leveraging data insights to drive decision-making.

Data Analysis and Insights:

• Oversee the collection, analysis, and interpretation of complex data sets related to forex trading activities.
• Utilize advanced statistical methods, machine learning, and predictive modeling to generate actionable insights.
• Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.

Market Research and Competitor Analysis:

• Conduct thorough market research and competitor analysis to identify trends, opportunities, and threats in the forex trading market.
• Provide strategic recommendations based on market insights to enhance our products and services.

Collaboration and Communication:

• Work closely with cross-functional teams, including trading, risk management, marketing, and IT, to align data analytics initiatives with business needs.
• Communicate complex data insights to non-technical stakeholders in a clear and concise manner.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Finance, or a related field.
• At least 10 years of experience in a leadership role within data analytics, preferably in the Forex/CFD trading industry in Australia and APAC.
• Strong understanding of forex trading markets, instruments, and trading strategies in Australia and APAC.
• Excellent analytical, problem-solving, and decision-making skills.
• Comfortable to converse both English and Mandarin in order to liaise with both internal and external stakeholders stationed in Australia and APAC.

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

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

Requirements:

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

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

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

Company overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com

Department overview:

The Chief Data Office plays a key role in defining and implementing the firm's data strategy, driving transformational change through data capabilities, enforcing data governance for both transformation benefit and regulatory compliance, and elevating Nomura's data culture. Governance remains a critical focus area, and the Group Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.

Job Responsibilities:

• Enabling data architecture and delivery of data-analytics platforms and Solutions – on-premises, cloud, and hybrid
• Information delivery & analytics. State-of-the-art expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
• AI/ML Ops. Responsible for integration, deployment and monitoring of AI/ML products and solutions,
• Data management. Demonstrate expertise in data management to ensure the analytics products are appropriate/ethical and well-controlled.
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.

Core Skills requirement:

• Designing and developing scalable data pipelines to collect and process large volumes of data from multiple sources.
• Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
• Microservices Development: Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
• Deployment: Hands on with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns.
• Hands-on with programming languages (Python, Java etc.) and with orchestration tools like Airflow
• Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficient in REST services, JSON data, Python 3, Linux/Unix Shell Scripting
• Proficient in modern data management methodologies and architecture e.g.- building data products and implementation of data mesh
• Experience with machine learning libraries and frameworks like LangChain, TruLens, MLFlow, TensorFlow, Scikit-learn, or PyTorch
• Deploying machine learning models into production environments and monitoring their performance over time.
• Collecting, cleaning, and analyzing large datasets to train and evaluate machine learning models.
• Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams.
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
• Experience with senior stakeholder management will be an added advantage.
• Excellent communication (verbal, written, listening), presentation, and interpersonal skills.
• Able to analyze complex situations and derive workable actions.
• Able to constructively challenge requirements and current state to increase overall value to the firm.

Education and experience
Wide variety of degrees will be considered, however work experience will be of equal, if not greater importance

• Degree or Masters in quantitative fields (Computer Science, Statistics or similar)
• Minimum of 5 years of relevant data experience in data engineering / MLOps, full stack engineering, preferably in financial organizations
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Certifications in relevant technologies or frameworks are a plus.

Diversity Statement

Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer

SFID: 7167

Job Description Summary

The NPI Administrator is responsible for defined work or projects with moderate to high complexity. In this role you will follow an individual work plan, meet day-to-day short-term objectives, and resolve issues through immediate action or short-term planning.

Job Description

Essential Responsibilities

• Implement and maintain Daily Management processes for Component Repair New Product Introduction (NPI)
• Track NPI status and monitor key milestones as part of site and HQ operating rhythms.
• Participate in Lean activities and the continuous improvement of NPI process.
• Coordinate scheduling of NPI activities with Shop Operations team to ensure timely completion in line with NPI plan.
• Communicate NPI readiness to external sites and functions, and coordinate the input of material to the shop for newly completed NPIs.

Qualifications/Requirements

• Bachelor’s degree/diploma from an accredited university
• Understanding of Lean manufacturing principles.

Interested candidates may apply through the application system. We regret to inform only shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Data Coordinator (6 month contract)

Responsible for:

• Cultivation of large-scale analytical use cases delivering exponential value by designing and delivering advanced analytics solutions at scale (including Petabyte scale solutions), using industry-leading Big Data technologies.
• Increasing productivity of models delivery through deep domain expertise.
• Serving as a one-stop shop and being end-to-end accountable for scale-up, hiding the complexity of IT from business case owners (understanding of P&G EA patterns, taking care of engagements with Enterprise Architects, Data Management, Cloud, Infosec, and Platform teams).
• Being a trusted partner of Cloud and Infosecurity teams with autonomy within their frameworks.
• Delivering the right solution architecture, automation, and technology choices starting from experimentation and proof of concept phases of new analytical models that generate insights and answers to business questions.
• Proficient at using Microsoft Excel, Word, and PowerPoint.
• Collecting, organizing, and migrating incoming data acquired by the company to other departments within the company for use.

Interested candidates may apply through the application system. We regret to inform only shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Are you driven and ambitious? ‼️

If so, we want you to be on our team as a Sales and Marketing Superstar!

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]