No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Salary: up to $4500

Working Days & Hours: 3 shifts

Location: Kent Ridge

Job Description:

• Participate in and, when necessary, supervise the reception of laboratory specimens and rejection of those that are unsuitable for analysis.
• Operate the Laboratory Information System to perform functions such as order entry, result entry, result collation & certification and result query.
• Perform all procedures in accordance with laboratory protocols.
• Ensure that “critical values” are reported to appropriate personnel.
• Resolve queries from customers.
• Report adverse incidents to the supervisor.
• Perform, record and interpret results of quality control procedures and take corrective action where indicated.
• Undertake simple preventative maintenance of laboratory instrumentation and perform simple troubleshooting in the event of malfunction.
• Comply with laboratory inventory management procedures.
• Keep current with new instrumentation, techniques and procedures by attending/participating in appropriate workshops, seminars and in-service education classes.
• Conduct of in-service education and continuing education classes.
• Assist with planning of staff rosters as required.
• Perform shift duties as required.
• Coach trainees and new staff in laboratory procedure.
• Carry out the instruction(s) of senior staff with regard to work procedures and duties.
• To conduct internal audit.
• Comply with good laboratory practice as set out by the Laboratory Accreditation Programme of the College of American Pathologists and Singapore regulatory agencies such as the Medical Audit & Accreditation Unit.
• Ensure compliance with all requirement of the Laboratory Safety Manual.

Job Requirements: Min Degree in Biomedical Science/Chemistry/Medical Laboratory Science or similar w min 2 yrs of relevant experience in hospital setting

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Our client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

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 shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.

• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

Role description

Create analytics content based on specifications created by the company's business analysts. Design and write reports based on an in-depth knowledge of operational system usage. This level of knowledge requires a deep understanding of system build, end user workflows, and patterns of use. The candidate shall have both the technical skills required to design and write reports and the operational knowledge to help them understand what report consumers need to see.

Responsibilities

• Configuring and maintaining the system databases according to the environment strategy
• Engaging in capacity planning exercises to ensure adequate system resources
• Monitoring database size and health
• Creating and managing plans for maintaining statistics and indexes
• Understanding performance metrics, monitoring system performance, and troubleshooting issues
• Following vendor and Epic best practices for hardware and software configuration
• Meeting with Cogito Process Analysts (PA) and report requesters (SMEs) to understand their data needs
• Identifying and reviewing the appropriate technological solutions for various reporting needs
• Creating reports, using a third-party report writing tool such as Crystal reports, to display data
• Writing SQL for custom SQL metrics
• Modifying existing reports, as necessary
• Distributing reports to report consumers using Epic-Crystal integration
• Reviewing peer reports for validity
• Testing report build in a specified testing environment and volume testing in live environments
• Reviewing upgrade documentation related to system features and released system reporting content, and determining how to implement the changes

Might also be responsible for building:

• Universes and cubes
• Extracts
• SlicerDicer
• Third-party tools (WebI/QlikView/Tableau)

Requirements / Qualifications

• A degree in engineering, physics, computer sciences, math, information systems, or statistics
• At least 3 - 5 years’ experience in data analyst position. Open to fresh graduates too.
• Strong communication skills
• Critical thinking and an analytical mind
• Technically proficient in your analytical database platforms
• Working knowledge of the database operating systems
• Proficiency with SQL and relational database concepts
• Proficiency and demonstrated experience with report writing tools
• Familiarity with Epic applications and database structure, through training that occurs early in the implementation
• Ability to gain an in-depth understanding of the data model through data model classes geared toward content areas
• Ability to understand data structures that could benefit the entire reporting environment
• Epic Certified is an advantage
• Speaks business level English language with confidence.

Please note that successful applicants will be required to undergo an assessment as part of the selection process.

Details will be provided to shortlisted candidates.

EA Licence No: 11C5502 | EAP Registration No: R22109400 Arwin Kaur

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

Qualifications:

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

Key Responsibilities:

• Responsible for Data and Analytics product and ensure timeline and quality of it's delivery.
• Leading Development Operations team of technical experts to ensure ongoing and future integrity of Data and Analytics delivery in APAC.
• Align with data transformation, data governance, and data platform teams to ensure that all delivery is in line with central and regional standards.
• Communicate proactively with stakeholders on development progress, risk, and timeline. Collaborate with Product Owner to resolve roadblocks to ensure stakeholders satisfaction.
• Initiate and propose new ideas to product owner to drive implementation of data transformation and data analytics product strategy.
• Collaborate with Business Analyst to gather, clarify and estimate timeline of Data Analytics use cases requirement from business teams.
• Incorporate standard operation processes to ensure operability of live data products complied to Service Level Agreement agreed with stakeholders.

Qualification:

• Master in Computer Science, Mathematics, IT or equivalent degree
• Min. 3 years of relevant functional experience
• Exposure to agile ways of working (Scrum, KANBAN, and scaled frameworks like LeSS, SAFe, DA, Scrum Nexus, etc.)
• Hands-on experience in agile software engineering environments is a bonus
• Strong leadership and people management skills
• Expert knowledge of Cloud technology (AWS is a plus), Data Analytics, Data Visualization, and Machine Learning

Interested candidates please email your resume to [email protected]

We regret only shortlisted candidates will be notified.

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.