What the role is

The company is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, the company leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, the company works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, the company enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow Company into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive Company’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement, and maintain a comprehensive data governance and management framework that complies with WOG requirements
• Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instill best practices

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency. This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the company officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
• Apply data mining techniques and perform statistical analysis to generate insights at scale
• Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

Location:

Near Paya Lebar MRT

Salary:

$5100 to $7500

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

Candidates without the required qualification but possess the relevant work experience are welcome to apply.

Successful candidates will be offered a 2-year contract.

Reg No: 96C4864

EA License No: R22110839

What the role is

The company is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, the company leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, the company works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, the company enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow Company into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive Company’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement, and maintain a comprehensive data governance and management framework that complies with WOG requirements
• Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instill best practices

What you will be working on

As a Data Engineer within DSAD, you will play a pivotal role in managing and optimizing data pipelines, ensuring the seamless flow and integrity of data across our organization. Your expertise in data pipeline management, automation, MLOps, data governance, and infrastructure architecture will contribute significantly to our mission of leveraging data to drive innovation and operational excellence. We are looking for a candidate who embodies our core values of integrity, collaboration, and continuous improvement, and who is passionate about harnessing the power of data to achieve our strategic objectives.

• Data Pipeline Management, Automation, and MLOps Proficiency
  Manage and optimize multi-stage data pipelines for various use cases, from data acquisition to consumption
  Automate data preparation and integration tasks using innovative tools and techniques
  Apply MLOps principles to integrate machine learning models efficiently with data pipelines and infrastructure
• Data Governance, Cataloging, and Collaboration
  Work closely with data governance teams to ensure data is accurately cataloged and available for governed reuse
  Collaborate with AI engineers to optimize data solutions for machine learning projects, focusing on data flow and accessibility
• Infrastructure Architecture and Data Modeling
  Design and manage scalable data infrastructure using cloud services like AWS
  Develop efficient data models and pipelines for large-scale data sets, ensuring data quality and availability
• Data Quality Assurance, Documentation, and Continuous Improvement
  Lead initiatives to establish standards for data accuracy and reliability
  Maintain comprehensive documentation on data architectures and management practices
  Stay updated on data engineering advancements, advocating for and implementing improvements
  Facilitate knowledge sharing and technical training sessions to enhance organizational data competency

Location:

Near Paya Lebar MRT

Salary:

$4200 to $6000

What we are looking for

• Tertiary qualifications in computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field
• A minimum of six years of experience in data management disciplines, including data integration, modeling, optimization, and data quality
• At least three years of experience in cross-functional team collaboration and supporting data management/analytics initiatives
• Demonstrated ability to work creatively and collaboratively with both business and IT teams
• Strong interpersonal skills with the ability to engage and earn the respect of stakeholders at all levels
• Confident, energetic self-starter with a commitment to ethics, regulatory compliance, customer service, and business integrity
• Highly adaptable and committed to excellence in a dynamic business environment

Candidates without the required qualification but possess the relevant work experience are welcome to apply.

Successful candidates will be offered a 2-year contract.

Reg No: 96C4864

EA License No: R22110839

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Job Description:

• Operate and maintain print-room equipment, including printers, copiers and binding machines
• Maintain inventory of printing supplies and materials
• Operate scanning equipment to digitize documents and store the digital files in the appropriate locations
• Ensure timely completion of print and scan jobs according to requestors’ specifications
• Manage the movement of physical documents, including overseeing handovers and keeping records of the documents’ movements.
• Coordinate with teams or executives to ensure timely dispatch and receipt of documents, as well as handle related operations and logistics
• Collaborate with team members to ensure smooth workflow and timely completion of tasks.
• Perform ad-hoc / additional tasks as directed by the supervisor(s)

Work Schedule:

• Salary: $2390 / month
• Period duration: 6 months
• Location: Upper Pickering Street
• Working Days: Monday to Friday
• Working Hours: Mon to Thurs 8.30 am to 6 pm; Fri: 8.30 am to 5.30 pm

Job Requirement:

• Basic knowledge of printing processes, mail handling and scanning.
• Past work experiences in print-room, scanning, and/or mailroom operations would be an advantage.
• Experienced in using document management software such as Adobe Acrobat, as well as Microsoft Office applications.
• Ability to work efficiently under pressure
• Attention to detail and commitment to quality
• Good communication and interpersonal skills

EA License No.: 96C4864

Reg. No.: R22110485

Job Description:

• Support the team in the design of internal communications to cascade key organisational messages, as well as planning of events such as Townhall
• Support the team in developing engaging content for the intranet portal and/or leadership training e-modules
• Coordinate engagements with user groups to understand pain points and gather feedback
• Assist in analysing user feedback data and identifying areas for improvement
• Assist in content migration and developing website prototypes based on user feedback
• Assist in data management/organisation and analysis for projects to track project status, participants, KPIs etc
• Contribute to the development of data visualisations/dashboarding

Work Schedule:

• Salary: $2390 / month
• Contract Period: 12 months
• Location: Hampshire road
• Working days: Mon - Fri
• Working hours: 9am to 6pm

Job Requirement:

• Good written and verbal communication skills
• Good visual communication and design skills
• Proficiency in Microsoft Excel
• Interest in data related projects

EA License No.: 96C4864

Reg. No.: R22110485

The Data Centre Operator will monitor and maintain the data centre's equipment, ensuring everything runs smoothly. This includes performing regular checks, fixing issues, and supporting the IT team with daily tasks.

Main Responsibilities:

• Keep an eye on data centre systems (servers, networks, etc.) to ensure they work properly.

• Troubleshoot and fix basic issues with hardware, networks, or software.

• Help with data backups and make sure the system is secure.

• Assist in installing and updating equipment.

• Record activities, issues, and performance data.

• Follow safety and security rules for equipment and data.

Requirements:

• Basic knowledge of IT or related fields (experience or degree).

• Some experience in IT support or working in a data centre is a plus.

• Understanding of computer hardware, networks, and basic troubleshooting.

• Ability to work in shifts, including nights and weekends, allowance provided

Interested candidates please email to [email protected] with all details like current salary, expected salary and notice period

Regards

Shashi (R23112213)

Just Recruit Singapore Pte Ltd (EA12C6295)

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Job Description:

• Primarily to support the data processing and analysis.
• Survey conducted with firms to understand the current state of the workforce in the Built Environment sector. There will be multi-agency coordination to develop specific sectoral based approaches.
• The position involves manpower workforce-related data collection, data cleaning and analysis to the study sector. The job holder will be responsible with processing the data to meet several study outcomes. Under the guidance of supervisor
• May also be assigned and exposed to other areas of work, such as firms’ engagement, addressing firms and updates.

Work Schedule:

• Monthly Salary: Up to $3600/month
• Contract Period: 12 months
• Location: Jem
• Working days: Mon to Fri
• Working time: Mon - Thurs: 8.30am to 6.00pm; Fri: 8.30am to 5.30pm

Job Requirement:

• Diploma holder and above with disciplines in Engineering & Science
• There will be learning opportunity for candidates who are keen to understand national programme development and data applications in programmes
• Strong interest in understanding the construction sector and stakeholders involved management firms, are encouraged to apply.
• Strong data analytical knowledge and data processing skillsets such as PowerBI, Process Automation (RPA) will be preferred.
• Professional writing skills and presentation skills will be advantageous.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese clients

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese clients

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese clients

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

1. JOB DESCRIPTION
Proactively prospect for new business (Corporate, MNCs, SMEs) by developing and qualifying leads
Provide demos and/or walk-throughs of the product (if necessary)
Assist with customer presentations as necessary
Provide feedback to management on customer needs, technology trends, competitor activity, etc.
Pre and post Sales Account Management
Work with Marketing & other internal Departments to improve and ensure customer satisfaction

Basic + Transport + Attractive Commission + 5-days work week

Nearest MRT: Tai Seng

About Durapower:

Durapower, a global leader in Energy Storage Systems driving the green transformation, is seeking a dynamic and experienced Corporate Communications Manager to play a pivotal role in elevating brand awareness, thought leadership, and lead & demand generation. This individual contributor will collaborate closely with internal stakeholders and external partners on emerging trends on battery technology and sustainability topics.

You may refer to the news here: https://en.prnasia.com/releases/apac/durapower-to-advance-global-expansion-plan-after-us-70-million-investment-from-banpu-next-394762.shtml

Video by Management on Durapower:

https://www.linkedin.com/posts/activity-6945009405591465984-ew1t?utm_source=linkedin_share&utm_medium=member_desktop_web

The Project: DP Pulse | DuraPower ---> https://dppulse.com/landing/

Job Title: Data Scientist

Responsibilities

• Participate in algorithm development, analyze the charging/discharging behaviors and the cause of fault/failure, to reduce battery risk, extend battery lifetime and improve battery performance
• Code data analysis features and development of machine learning and deep learning algorithms
• Responsible for data cleaning, including but not limited to evaluating data reliability (data continuity, physical rationality), identifying and screening invalid data, completing data warehousing, and writing data quality report, etc.
• Responsible for data analysis, to get the data distribution regularity, quantify the degradation degree and residual value of battery, and realize data visualization
• Work with other engineers and third-party suppliers to build prototypes and demonstrators

Competency Requirement

• Degree in Data Science, Data Analytics, Computer Science or related field (physics/ statistics background) or Master's in Artificial Intelligence
• Minimum of 5 years of related experience
• Deep knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems
• Strong understanding of statistics (hypothesis testing, regressions, etc.)
• Experience with (or strong interest in) architecting cloud software that interfaces with a hardware product
• Extensive knowledge and experience building services that manage and monitor devices
• Experience working on cloud platforms (AWS, Azure, Google Cloud)
• Experience working with cloud IoT platforms is a plus
• Experience with both SQL and noSQL databases
• Experience building and deploying microservices in the cloud
• Extensive experience designing and implementing software quality patterns and practices (continuous integration, static analysis, unit testing, integrated testing)
• Demonstrated success working in fast-paced team environments and delivering high-quality software products using established Agile development methodologies (such as Scrum, Kanban, etc.)
• Experience in taking business requirements and translating them into executable user stories and workflows for software teams is a plus

Contract Duration

· 1 December 2024 to 30 October 2025

Working Location

· Tampines

Working Hours

· 5 Days (Mondays to Fridays: 8.30am to 6.00pm)

Lunch: 1 hour

Offered Salary

• S$1,900 to $3,600 per month (Depending on qualifications & experience and subject to client’s approval)
• 1 month gratuity (to be pro-rated based on service period and upon completion of contract, subject to work and company performance)

Requirements

· Diploma in Information Technology, Artificial Intelligence, Computer Science, Data Science or a related field

· Working experience is preferred

· Good knowledge of HTML, CSS, JavaScript and front-end frameworks

· Good knowledge of languages such as Node.js, Python, PHP, Dart

· Experience with Google Cloud Platform

· Proficient in working with NoSQL databases

· Knowledge of LLM, NLP and text analytics

· Ability to work independently

· An eagerness to learn new technologies

Job Description

As a Research Executive – AI & Data Analytics, the person will be responsible for both front-end and back-end web development for an AI applications, such as GenAI powered chatbot. This person will also support the team to design, implement, and optimize user interfaces, APIs, and database structures. He/she will also assist in the integration of AI models into the platform, ensure scalability, and troubleshoot any technical issues. It is also a requirement to assist in data analysis and interpretation of the data collected to support decision-making.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

• Listed MNC
• Salary Package: Basic $3,500 + $5,000 + Bonus + Incentives
• Working Days: 5 Days Work Week
• Working Location: Changi - Company Transport at Simei MRT

Job Responsibilities:

• Maintain shipboard electronics systems for operational readiness.
• Install and remove equipment and systems efficiently.
• Perform repair and servicing of electronics units and assemblies.
• Manage maintenance operations at team, workshop, or department level.
• Opportunities for short-term overseas attachment and training courses.

Job Requirements:

• NITEC or Diploma in Electronics Engineering or equivalent.
• Comfortable working on shipyard and 24/7 standby capability.
• Entry Level is welcome to apply.

Interested applicant are welcome to apply online with updated Resume/CV via Apply Now button.

.: Only shortlisted candidate will be notified :.

Kong Min Wei, Brian

EA Personnel No: R23113861