Job Description

• Recommend and build require infrastructure for optimal extraction, transformation and loading of data from various sources such as ERP. MES and other systems using SQL technologies.
• Create, manage and maintain optimal data pipeline architecture. API and integration for ERP, MES and other systems used in the company.
• Monitor and manage database and related systems to ensure optimized performance.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Working with stakeholders such as sales, finance, operations, design, and executive teams to support their data infrastructure needs while assisting with data-related technical issues.
• Build business intelligence and analytical tools using Power BI to utilize the data pipeline, and provide actionable insight into key business performance metrics.
• Participate in external and internal audit to ensure company data and related system is effective and validated.
• Create and maintain documentations and compliance for data and systems with reference to industry best practices.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor’s degree (or equivalent) in Computer Science, Information and Communications Technology, or related discipline
• 3 or more years with RDBMS and NoSQL databases
• 3 or more years of experience with Python, SQL, data visualization and exploration tools
• Working experience in MedTech / Manufacturing Industry
• Experienced in building and maintaining ETL processes.
• Experienced with Microsoft-based stack (M365, Power Platform, Azure, Dataverse,Microsoft SQL Server)
• Knowledge of best practices in ICT operations and data management
• Excellent problem solving and troubleshooting skills.
• Process orientated with great documentation practices.
• Communication skills, especially for translating technical concepts to non-technical business leaders.
• Ability to work on a dynamic, action-focused team that has concurrent projects

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

The Opportunity:

• Our client, Government Science Agency
• Great learning exposure, training provided!
• Basic Salary: Up to $3,000 (Based on experience)
• Working hours: 9AM - 9PM, assigned as per shift
• Multiple vacancies available!

Job Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers.
• Monitor basic equipment/process errors and perform recovery.
• Work with parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

Job Requirements:

• Proficient in operating semiconductor equipment and basic troubleshooting.
• Experience in semiconductor manufacturing or wafer processing is a plus.
• Able to transport wafers in cleanroom and coordinate logistics.
• Independent, responsible, and able to work in a team.

Next Step:

• Prepare your updated resume
• Simply click on 'Apply here' to drop your resume.
• All shortlisted candidates will be contacted.
• Please note that this is a contract position

Jason Ng
Direct Line: 6697 7967
EA License No: 91C2918
Personnel Registration Number: R23113333

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

Responsibilities:

• Develop job descriptions, identify qualifications, and devise recruitment strategies with hiring managers
• Utilize various methods to source and screen candidates, including job boards, social media, and referrals
• Conduct interviews and assessments to evaluate candidate qualifications and cultural fit
• Foster positive relationships with candidates throughout the recruitment process
• Collaborate with hiring managers and HR to manage job offers and onboard new hires
• Keep hiring managers and HR informed of recruitment status

Requirements:

• Diploma or Bachelors in any discipline, mentorship will be provided
• Excellent communication and interpersonal skills
• Ability to build strong relationships with candidates and hiring managers
• Strong organizational and time management skills with the ability to manage multiple priorities

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

We are the largest conductor of employee surveys around the world and we are looking for a data analyst to join our exciting team which works with Great Place To Work clients in Singapore, Indonesia, Vientam, Philippines, Malaysia, Thailand, Australia and New Zealand.

We collect a large amount of data from employee surveys we conduct and we are looking for a data analyst to come and further strengthen our analytics offering using that data.

Skill in PowerBI is critical and knowledge of Microsoft Fabric and OneLake will be advantageous. We are looking for candidates with 5-10 years of experience in data analysis and who are willing to grow with us and our clients as we build out the data offering together.

Our team in Singapore is mostly remote though we do maintain an office space and meet face to face once a week on Mondays.

About the job

A government agency is looking for an experienced Data Analyst to join their team.

Your new company

As a Data Analyst, you will process and analyzes data to identify trends and early indicators of potential incidents that could affect the resilience and cybersecurity. You will also be responsible for analyzing and identifying potential cybersecurity threats by applying data analytics and threat-hunting techniques to big data. You will collaborate closely with cybersecurity counterparts to proactively trigger intervention actions based on the identified potential cyber threats.

Your new role

As the Data Analyst, you will be responsible for:

• Data Collection, Data Analysis, Data Visualization to identify trends and patterns

• Develop and validate hypotheses for threat hunting

• Generate insights and provide supporting evidence through Big Data Analytics for informed decision-making

• Assemble and disseminate intelligence to peers for swift intervention actions

• Data Management to ensure that data is stored securely and efficiently, following best practices and compliance regulations

• Continuously improving data processes and methodologies to enhance the quality and efficiency of data analysis

• Communicate concepts and findings in reports and presentations for senior stakeholders

What you need

• Bachelor’s degree in Computer Science/ Data Science and Analytics or equivalent

• 1+ year of experience in working with databases and big data analytics using Hadoop, Hive, and Spark, along with the ability to write complex SQL queries

• Knowledge of cybersecurity principles and their practical application (computer networking, network security, or system security); cybersecurity certifications are highly desirable

• Practical application experience with statistical methods and concepts such as regression, properties of distributions, statistical tests, and their appropriate usage

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• structured career growth and plenty of developmental opportunities

• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Jo Synn Tan or email [email protected] Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22107752

EA License Number: 07C3924 | Company Registration No: 200609504D

Mandatory Skills

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

o Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

o Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

6+ years of experience in data engineering, big data technologies, or a

similar role.

Responsibilities:-

• Design, develop and program methods, processes, and systems to consolidated and analyse unstructured, diverse data sources to generate actionable insights and solutions for Management
• Develop and code software program, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with business experts to enrich the data and find meaningful insights that can be applied to build actionable solutions.
• Automate repetitive data tasks, to streamline the process, and minimize manual intervention.
• Create data visualization to effectively communicate findings and recommendations to stakeholders.
• Stay update on industry trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control on any tasks or projects handling requirements.
• Provide support in administrative matters and ad-hoc tasks assigned by HOD from time to time.

Requirements:-

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 1-2 years of experience in a data science role.
• Minimum 1-2 year of working experience in similar industry would be a plus.
• Proficiency in programming languages such as Phython, R, SQL & PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visualization tools (eg: PowerBI) 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.
• Strong in Microsoft

Responsibilities

• Data Collection & Reporting: Assist in gathering, organizing and analyz-ing data from web based data, focusing on key performance indicators such as waste and recycling tonnage.
• Liaising with operations: Work closely with operational teams ensure timely and accurate submission of operations data. Provide support and guidance to operations as needed to improve data reporting processes.
• Data Accuracy & Quality Assurance: Perform regular data quality checks to verify accuracy, completeness, and consistency of sustainability data. Identify discrepancies or issues and work with local teams to resolve them.
• Updating of route plan masterlist: Assist in the updating process for new collection data points.
• Liaising with estate managers: Provide estate managers sustainability data in a timely and accurate manner.
• Data Entry & Updates: Ensure that all sustainability data is entered into the relevant tracking systems on time and in line with reporting sched-ules.
• Develop & Maintain Reporting Tools: Assist in creating and maintaining data dashboards and reports that provide real-time insights into sustaina-bility performance.
• Reporting Support: Help prepare periodic sustainability reports and presentations for internal stakeholders
• Collaboration & Communication: Work closely with customer service team to serve as a joint point of contact for sustainability data
• Ad-hoc Project Support: Assist with various sustainability initiatives and projects as required, providing data support and helping to implement new programs or processes

Requirements:

• Have at least 1-2 years of experience in sustainability data or related fields.
• Graduated from a diploma program in Environmental Science, Sustaina-bility, Engineering, Business, or a related field.
• Strong analytical skills, with experience in data collection, cleaning, and analysis.
• Proficiency in Microsoft Excel, Google Sheets. Data analysis tools (e.g., Power BI, Python) is a plus but not required.
• Interest in sustainability and environmental impact, with a willingness to learn and contribute to global sustainability efforts

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Overview

Each year, we as Oldendorff, carry about 380 million tons of bulk and unitized cargo around the world. We perform 15,000 port calls in 118 countries. On average, we operate 700 chartered and owned ships at any one time. Being with us, means working in a continuously changing internationally environment, where reliability is appreciated as is team spirit. Combined with a healthy driver to keep seeking for areas to develop you and your company to reach higher goals – we welcome you to set sail with us.

After the strategic shift towards a cloud-based and innovative Technology organization, we established a dynamic, modern and agile working environment. Join our culturally diverse 80 people-strong team, encouraging creativity and shaping Oldendorff’s digital future.

Our data engineering team designs, builds, and maintains scalable data pipelines and architectures to ensure seamless data flow and accessibility across the organization. The team works collaboratively with data scientists, analysts, and other stakeholders to optimize data integration, storage, and retrieval processes.

Essential Functions:

· In a group effort together with your team, you are shaping and designing our BI and data-architecture solution in the Cloud.

· You are developing data solutions with several platform technologies (e.g. Databricks, Logic Apps, Azure Data Factory, Azure Synapse).

· You are developing low-code solutions with Power Platform.

· You have comprehensive knowledge of DevOps principles.

· You are working on the development of our integrated data layer as the foundation of implementing data-driven analysis and reports using SQL and PySpark.

· You are supporting our development team in their selection and implementation of suitable data technologies.

· You are examining and evaluating new developments in the field of data technologies.

Skill Requirements:

· Successfully completed training or studies in the field of IT

· You have worked with databases or BI environments for more than 3 years, ETL/ELT experience with data integration and data processing.

· You are already experienced in working with different types of database technologies, scalable big data storage, preferable Azure Data Lake Storage.

· You are experienced in working with cloud technologies and cloud-based data-integration tools.

· Further to that, you are ideally familiar with agile project-processes (i.e. Scrum, Kanban) and you bring along some knowledge in Atlassian Suite (i.e. Jira, Confluence, Bitbucket and Bamboo).

· You are solution-driven, proactive and a team player.

· You enjoy communicating with our colleagues in English, because our team is indeed very international.

Mandatory Skills

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

o Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

o Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

6+ years of experience in data engineering, big data technologies, or a

similar role.

Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging several marketing channels. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

• Tested and proven suite of solutions/strategies for you to empower your customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are looking for a Data Analyst within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your key responsibilities:

• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Create informative and interactive dashboards and reports in Power BI, Qlik or similar tools to meet the needs of the business.
• Write advanced SQL queries for data manipulation and retrieval from relational databases.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
• Ensure data quality and integrity by implementing data validation and testing within ETL processes.
• Monitor ETL jobs, troubleshoot any issues, and perform performance tuning to improve data processing.
• Stay current with the latest technologies and best practices in data engineering and business intelligence

Skills & attributes for success:

• Experience of data-driven organizational transformation supported by data insights and good story telling
• Experience in business intelligence, data warehousing/platform, or data strategy projects
• Experience in ETL development and Data Analysis
• Knowledge and experience in data governance, data security, and privacy practices
• Exceptional communication, documentation and presentation skills and stakeholder management experiences

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Information Technology, or any related field.
• Minimum of 1 year of experience as a Data Analyst with experience in ETL development and data warehousing.
• Prior experience with Azure Data Factory, including building and optimizing data pipelines, is preferred.
• Strong proficiency in writing and optimizing SQL queries.
• Expertise in popular commercial BI tools, such as Power BI, Qlik.
• Familiarity with data governance, data security, and privacy practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with both technical and non-technical team members.

Ideally, you’ll also have

• Dashboarding experience with Power BI, Qlik or equivalent tools
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What working at EY offers

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Key Responsibilities:

• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

The Talent:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Strong experience in Cloudera implementations and administration
• Strong knowledge on CDP, CDH and HDP
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

We regret that only shortlisted candidates will be notified.

Please kindly send in your updated CV (please include your current salary package with full breakdown and expected salary) to [email protected]. Your interest will be treated in strict confidence.

People Profilers Pte Ltd

DID: 6950 9738

http://www.peopleprofilers.com

Lim Yi Tian, Candy

EA License No. 02C4944
Registration No. R1109829

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 5-7 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

Data and Computational Science (DCS) is a newly established computational hub within National Cancer Centre of Singapore (NCCS) which focuses on leveraging data analytics and computational methods to advance cancer research and treatment. DCS features high-powered computing resources capable of processing ‘big data’ profiles and running advanced interpretable machine learning algorithms and robust statistical techniques. DCS offers in-house and centralised solutions for NCCS researchers who require computational analysis without the need to buy specialised equipment or contract with third party vendors. DCS aims to maximise the efficiency of data processes and accelerate research outcomes. With access to national level medical data spanning clinical, imaging and omics datasets, our efforts are concentrated on harvesting the innate value of these rich datasets to improve cancer patient care and treatment delivery through the production of world-class research.

You will provide support and insights for DCS core multi-omics research and big data analysis computing infrastructure that focus on using next-generation sequencing (NGS), radiological imaging and other multi-modal datatypes to develop biomarkers predictive of clinical responses in cancer patients. You will be expected to wrangle and optimise large datasets and execute complex parallel computational pipelines to better understand the complexity of cancer progression and treatment resistance across multiple cancer types.

Key Responsibilities:

- IT Infrastructure Design: Develop strategic IT infrastructure plans (hardware, software and network) that ensures scalability, security, and performance.

- IT Infrastructure Procurement: Source and liaise with vendors in procurement of the IT infrastructure to support the team's expansion needs.

- IT Infrastructure Maintenance: Monitor system performance, identify and resolve bottlenecks or issues, ensuring minimal downtime. Apply software updates and patches. Backup data to prevent data loss.

- Data Integration and ETL: Design, implement and maintain data processing pipelines for ingesting, transforming, and loading data from various sources. Implement and optimise ETL processes for efficiency and reliability.

- Security and Compliance: Define computing resources and data access controls, encryption, and authentication mechanisms. Ensure compliance with data privacy regulations (e.g., GDPR, PDPA, APAC Data Laws etc.) and organisation structures.

- Collaboration: Work closely with Principal Investigator, Clinicians, Data Scientists, Researchers and stakeholders to understand data requirements. Collaborate with other IT team members to support data initiatives and maintain a consistent, high-quality data delivery architecture across projects.

Job Requirements:

- Bachelors degree or higher in a relevant STEM discipline.

- Knowledge of production data pipelines, especially in a bioinformatics or clinical healthcare setting.

- Familiarity with Linux or other Unix flavours, preferably as an administrator/superuser and server maintenance.

- Familiarity with data security and access control measures.

- Strong programming expertise in at least one major language (e.g. Bash, Python, R, C/++, Rust).

- A keenness in incrementally designing, building and testing software components to ensure correct end-to-end running of primary production pipelines.

- A keenness to continually learn and integrate new tools and parameters to keep up with industry best practices, adapting them to local needs.

- Ability to independently plan and execute data analysis and ad-hoc projects, in collaboration with teammates and external parties.

- Strong organisational, interpersonal and presentation skills.

- Familiarity with pipeline management systems (Nextflow, Snakemake, CWL, WDL).

- Familiarity with job schedulers (SLURM, PBS, SGE, LSF).

- Familiarity with container/virtualization systems (Docker, Singularity, Podman, Kubernetes).

- Familiarity with multimodal datatypes (e.g. Polars, Arrow, vector DBs and column-stores).

- Interest in optimising GPU workloads and Large Models.

- Interest in front-end and back-end development for data analytics and parallel computation.

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 6-9 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction