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

• Student Care Teacher
• Working days: Monday - Friday
  Working Hours:
  School Holidays : 7am-2pm & 12pm to 7pm ( 2 shift)
  Non School Holiday: 12pm-7pm
• Salary: $1500 - $1700
• Location: Ubi Ave (Ubi)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities
• Guide student on their school homework and assignments
• Conduct daily student care and school holiday programs
• Monitor and record the student’s progress and ensure that learning goals are met
• Develop and implement new lesson plans and other creative activities
• Create a fun and interactive learning environment
• Communicate with parents on their child’s learning progress
• Provide administrative support for the centre’s operations and events

Requirements:

• Minimum O levels

• Student Care Teacher
• Working days: Monday - Friday
  Working Hours:
  School Holidays : 7am-2pm & 12pm to 7pm ( 2 shift)
  Non School Holiday: 12pm-7pm
• Salary: $1500 - $1700
• Location: Ubi Ave (Ubi)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities
• Guide student on their school homework and assignments
• Conduct daily student care and school holiday programs
• Monitor and record the student’s progress and ensure that learning goals are met
• Develop and implement new lesson plans and other creative activities
• Create a fun and interactive learning environment
• Communicate with parents on their child’s learning progress
• Provide administrative support for the centre’s operations and events

Requirements:

• Minimum O levels

• Position: Purchaser
• Working hours: 8:30am - 5:30pm (Mon-Friday)
• Working location: Buroh Street (Nearest MRT: Boon Lay)
• Salary Range : $1800 -$2000

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities:
• Process supplier confirmation by update purchase orders
• Preparation of Purchase Orders
• Preparation of change orders
• Track shipments and communicate with clients about the package's progress
• Timely responses to supplier inquiries
• Follow-up and ensure supplier compliance is current
• Provide support on various activities as needed with Managers and team members
• Writes, and submits to vendors a detailed purchase order, outlining the project specifications, delivery date expectations, the amount of overs allowed, who will arrange freight, any other details pertinent to the project
• Monitors and communicates to customer service any additional changes for shipping, overs, project changes
• Compiling Request For Quotation/Proposal (RFQ/RFP) packages
• Maintains lot sizes, period of supply, planning-bill demand, lead time and minimum order quantities with the suppliers
• Obtains supplier quotations as required, notifies suppliers of engineering changes to drawings/specifications and provides suppliers with forecast and open order information
• Ensures that all released Purchase Orders are sent to suppliers and are confirmed following the required turn-around time
• Assist with the phone calls
• Well-verse in ISO documentation and AutoCad

Qualifications
• A minimum 1 year and progressively responsible job-related experience
• Familiarity with purchase orders
• Minimum ‘O’ Level or equivalent

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required)
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

As a Facility Manager, you will maintain, operate, and troubleshoot, with the assistance of the site engineering operations team, the mission-critical data center facility equipment including electrical support equipment such as stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAC units, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, and motors. We have a passion for learning and evolving, it’s how we have helped define ourselves as leaders in the industry.

Key job responsibilities
• Oversee all aspects of the data center’s critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.

• Lead and manage budgeting and procurement for Data Center’s related goods and services.
• Manage teams of 24x7 engineering team in all facets of their career. Prioritize and assign tasks to data center technicians and operators, manage projects, coach and create documentation. Guide, train and educate staff on best practices related to all service owner issues.
• Effectively and efficiently manage the operations budget and expenditures.
• Engage in improvement projects, often requiring reaching out to a variety of support teams, and drive them from conception to completion.
• Coordinates daily with a multitude of third party vendors ensuring adherence to contracted SLAs.
• Communicate complex technical information to a non-technical audience.
• Respond to out-of-hours emergency calls.
• Is the second level escalation points for Data Center facilities related issues/failures.
• Act as an escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Ensure all safety procedures are adhered to while performing work.
• Manage emergency situations and lead emergency response team.
• Test quality, performance, safety, and reliability of products, equipment and processes.
• Perform extended site rounds that could include long distances of walking and long periods of time being away from a desk.
• Role may support more than one location/site.
• Manage talent acquisition process and people development for DCEO organization.

• Position Title: Sales Engineer
• Location: Woodlands Horizon
• Working Days: Mon - Fri, 5 days
• Working Hours: 9am – 6.00pm
• Salary: $2,400 + Comms

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities & Duties :

• Service knowledge including pricing, cost and profitability, market acceptance, channel, and competitive dynamics.
• Offer technical support and expertise advice to customers
• Increase sales primarily through direct contact or/and new/existing channel partners.
• Regularly monitors and reports on Key Performance Indicators (KPIs).
• Other duties may be assigned.

Professional Qualifications

• Diploma mechanical/Chemical Engineering with field experience is preferred.
• 1 to 3years relevant experience in handling sales
• Proficient with Microsoft Office & One Drive.

Postition: Sleep Technologist / therapist

Working Days: 5 days

Working Hours: 10am - 6pm (Flexi working hours, Might require to attend to calls from patients during weekends and after office hours.

Salary: $2000 - $2700

Location: Orchard

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities:

1. Perform Polysomnography sleep studies on patients referred by medical doctors trained in sleep medicine.

2. Perform Neurological diagnostics test eg. Electroencephalography(EEG).

3. Able to do over night duties to follow patients sleeping times.

4. As some tests do not require to stay overnight, will require to fix electrodes before patient go to bed and to return back again to end recording and collection of device.

5. Able to perform Multiple Sleep Latency Test (MSLT) which is conducted 2 hours after end of overnight sleep study and will last for 35 mins, 2 hours interval for 5 times on that day (this procedure will last for whole day until about 6pm).

6. Able to perform Positive Airway Pressure (PAP) titration study.

7. Able to explain sleep report to patients and discuss on treatment options available.

8. Market our services to doctors.

9. Sales of PAP devices.

10. Flexi work hours but standard is 10am to 6pm, 5 day week. Might require to attend to calls from patients during weekends and after office hours.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

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Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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