• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

HMGICS is seeking data scientists with a deep interest in solving real-life industrial problems and applying their solutions at scale in a mass-production environment. Candidates should have a technological interest in at least one of the following domains: Data Analytics, Optimization, AI/ML, or Generative AI & LLMs. Additionally, candidates should have a functional interest in at least one of the following areas: logistics, supply chain, assembly, quality, maintenance, or enterprise functions.

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality.
• Perform explanatory analytics to understand the key underlying drivers of performance and how to further optimize them.
• Develop and maintain optimization or predictive models as required to assist production in delivering productivity, flexibility, quality, or sustainability improvements.
• Deploy these models in production and train engineers and technicians to leverage the insights for improving their day-to-day performance.

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Mathematics, or equivalent practical experience.
• 6 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

BASIC FUNCTION

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company. The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators. The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company. This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

SPECIFIC RESPONSIBILITIES

• Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.
• Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.
• Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.
• Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.
• Establish budgetary forecasts and sales volume targets for the SEA DC market.
• Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.
• Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.
• Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.
• Analyze sales and market data to provide relevant information to senior management for decision making.
• Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.
• Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

QUALIFICATIONS / REQUIREMENTS

• Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.
• Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.
• Results driven, strong will to compete and win in a business environment.
• A good team player and enjoys interacting with people of all levels.
• Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES/SKILLS

• Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.
• Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.
• Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.
• Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

• 5-day work week
• 8.30am to 5.15pm
• Located in Jurong

OTHER BENEFITS

• Annual leave - 15 days up to 21 days
• Medical, dental, optical and annual health screening benefits
• Company transport provided at Boon Lay MRT station
• Other allowances applicable

Salary is commensurable to educational qualifications and working experience of the candidates.

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

(Please note that only shortlisted candidates will be notified.)

Job Description & Requirements

• Location: Near Joo Koon MRT

• 5-day work week (Mondays to Fridays : 6.45am to 4.30pm)

Key Responsibilities:

• To assist in the day to day administrative works and operations in one of the Production Department.

Duties:

• Prepare daily and monthly production report.

• Upload daily production data for authorities.

• Perform data entry, verify documents and ensure accuracy of data documents

• Maintain proper record and filing for department.

• Daily administration duties as given by HOD.

Job Requirements:

• Minimum GCE ‘N’/ ‘O level with some experience

• PC Literate (MS Work & Excel)

• Able to work with minimal supervision and a team player

As a Data Analyst in D-SIMLAB, you will get exposure in both technical and soft skills development. The role does not limit to only software development, but also involves in providing professional consultation services to customers, with the following key responsibilities:

Work together with a team of highly skilled Software Engineers and Data Scientists in software product deployment and delivery, at world leading semiconductor manufacturers.
Actively involved in product enhancement (in the area of visualization and algorithms) which improves the quality of D-SIMLAB product.
Responsible for key software components development.
Construct ETL to interface with data sources to feed d-simcon data model
Analyse data for consistency, completeness and correctness in the context of simulation modelling.
Identify factors associated with performance gaps between plan and actual.
Propose strategies to improve production line performance
Write codes for data analysis and got experience in wafer fabs will be a great advantage
We are looking for candidates fulfil the following criteria:

Bachelor/Master Degree specialises in Computer Science/Engineering or Industrial Engineering.
Diploma holders with relevant experience are encouraged to apply.
Enjoy working with experts with different cultural and technical backgrounds.
Love to travel the world and work on challenging projects.
Interest in career progression by strengthening your technical and soft skills.
Fresh graduates are welcome to apply.

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch obsessed with improving the jobs market by marrying technology and labour market intelligence. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers that are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

As a Data Scientist at JobTech, you will leverage your skills in machine learning, data analytics, and AI to build solutions that enhance our platform and provide real value to our users. In this role, you’ll collaborate closely with internal teams and clients, delivering data-driven insights that inform product decisions and client strategies. You’ll also be directly involved in client calls, where you will present findings, discuss analytical results, and ensure alignment with client objectives.

Key Responsibilities:

• Develop and Implement AI Models: Build and optimize machine learning models, focusing on natural language processing (NLP), recommendation engines, knowledge graphs, and information extraction to drive value for both our platform and clients.
• Cross-functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions are aligned with business goals.
• Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques. Prototype models, iterate, and test their performance to ensure they meet real-world needs.
• Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
• Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
• Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
• Client Engagement: Participate in client calls to present your data-driven findings and recommendations. Collaborate with clients to understand their needs and ensure our analytics solutions meet their expectations.

Requirements

• Educational Background: Master’s or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
• Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
• Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
• Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
• Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.

Technical Skills:

• Advanced proficiency in Python and familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and relational databases. Experience with Java is a plus.
• Hands-on experience building and deploying machine learning pipelines.
• Knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools like Docker is advantageous.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Key Responsibilities:

• Ensure the accuracy and timely delivery of reports.
• Maintain data accuracy, security, and confidentiality in the database and library.
• Assist in data entry, analysis, and organization of relevant information.
• Support teams by generating clear and actionable insights through data interpretation.
• Create charts and visual reports to support presentations.
• Ensure proper documentation and maintenance of data processes.

Qualifications:

• Degree in administration, business, or equivalent
• Experience: preferably 1 year’s experience or more in data administration
• Proficiency in data entry, management
• Strong communication skills and excellent interpersonal and organizational skills.