We are seeking a talented and experienced Spark Scala Developer with expertise in Elasticsearch to join our team. As a Spark Scala Developer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus.

•           Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

•           Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

•           Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

•           Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

•           Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

•           Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

•           Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

•           Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

•           Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

•           Strong experience in developing Spark applications. Experience with Spark Streaming is a plus

•           Proficiency in Scala programming language and familiarity with functional programming concepts

•           In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

•           Experience integrating and working with Elasticsearch for data indexing and search applications

•           Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization

•           Experience with distributed computing, parallel processing, and working with large datasets

•           Familiarity with big data technologies such as Hadoop, Hive, and HDFS

•           Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries

•           Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

•           Familiarity with version control systems (e.g., Git) and collaborative development workflows

•           Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Bachelor's degree in Computer Science or related field, plus 5+ years of relevant work experience in SNOWFLAKE and DBT Responsible for technical design, writing, support and operations of efficient

scalable and extensible data integrations and ingestions and participate in architecture and design

efforts.

Conduct PoCs for new technology exploration, e.g., DBT for implementing SCD

Understanding of enterprise data management concepts of governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, and data applications

Experience in Snowflake Architecture, including Snow SQL, Performance Tuning, Compute and Storage

Expertise with Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouses, query performance tuning, zero copy clone, and time travel, and understand how to use these features.

Experience in Data Migration to Snowflake cloud data warehouse

Expertise in using various data sourceslike JSON, Parquet, ORC, etc.

Provide technology architecturalassessments, strategies, and roadmapsfor one or more technology domains.

Collaborate with the customer's operations and technology leadership onthe future analytic goals of theorganization and design a technicalarchitecture to meet those goals.Participate in configuring thearchitecture and advise engineeringteams on its efficient use.

Develop scalable production-ready dataintegration and processing solutions.

Strong oral and written communicationskills and client-facing skills aremandatory.

• Salary: Up to $2300 + Fixed Allowances $800 + Night Shift Allowances
• Location: Jurong Island, Company Transport Provided at Jurong East
• Benefits: Permanent Role with AWS and Variable Bonus
• Shift Work: 12 Hours Shift

Responsibility

• Operate Plant and Site Services: Follow written and verbal instructions to safely and efficiently operate plant(s), site services, and handle vehicle loading/unloading.
• Safety and Efficiency Improvements: Suggest and implement ideas for safety and efficiency improvements, working in multi-disciplinary teams.
• Communication: Communicate effectively with the production team and other site functions (e.g., maintenance, planning, logistics) through verbal, email, and written methods.
• Health and Safety Accountability: Ensure personal and team health and safety by following site-specific SHE standards, including risk assessment, permit compliance, and incident reporting.

Requirements

• NITEC / Diploma in Chemical Engineering
• Entry level or junior candidates with 1-3 years experience in chemical, petrochemical, or oil & gas industry
• Willing to work in 12 hours shift

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

We seek creative individuals who combine strong analytic abilities and effective communication skills to better shape and deliver solutions. You will work with several account leads and clients. You will primarily be responsible for the design, build, testing, deployment, and support of complex dashboard & analytical solutions as part of an established APAC Analytics & BI team.

• A growth focus individual, who is motivated to push the boundaries, while proactively and innovatively finding ways to develop both client appetite for data and analytics; as well as developing world-class excellence in Asia Pacific delivery of data and analytics solutions for advertising and marketing.
• Work with the regional client team to analyze business requests and partner with stakeholders to provide a strategic solution data and analytics into actionable plans and tactics at regional and local market level.
• Work with business support, project management and technical experts as required across local markets to translate identified data into effective dashboarding solutions and reporting projects.
• Design, Build, Test, Debug, Monitor, and Troubleshoot various dashboarding solutions.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• 9-months maternity contract
• Up to $3,000 + Transport Allowances $220 + Shift Allowances $500
• Permanent Day Shift: 7.15 am to 7.15 pm (Shift Pattern 3 2 2)
• Work Location: Jurong Island
• Fresh graduate (Diploma/Degree) with internship experience in a laboratory environment added advantage!

Overview of the Role:

• Conduct accurate test analysis in accordance with test methods for the approval and rejection of finished products.

Purpose of the Role:

• Inspect and perform test analysis on finished products to support the batch approval and rejection process.
• Record results of test analysis following site QA good documentation practices.
• Perform test analysis on non-routine samples such as retests, customer complaints, or rejects.
• Prepare chemical reagents used in the lab and maintain proper housekeeping, including washing glassware and cleaning work areas and equipment.
• Monitor and record the inventory levels of chemicals and glassware and inform the QC Manager for replenishment.
• Coordinate and send samples to external labs for additional testing (e.g., microbial analysis, heavy metals).
• Undertake ad-hoc projects related to shelf-life studies and statistical tests, typically lasting 3-4 months.
• Complete assigned tasks according to site QSHE requirements with minimal supervision.
• Conduct laboratory investigations when out-of-spec results are obtained.
• Communicate any abnormalities to the Quality Manager as appropriate.
• Cover duties of colleagues in their absence.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

The Head of Hub Analytics is a key member of the Visa Analytics and Consulting (VCA) team. In this role, you will be responsible for leading a high performing team of data scientists and be accountable for the design, development, and implementation of data solutions for key Visa clients. You will collaborate with VCA, Business, and Technology teams across the organization to implement solutions to drive business performance. This role reports to the Head of Data Science Asia Pacific and based in Visa Singapore office.

We are seeking a skilled and motivated Data Engineer with expertise in Google Cloud Platform tools such as BigQuery, Composer, Dataproc, and ETL processes. The ideal candidate will have a strong background in designing, implementing, and optimizing data pipelines and workflows. You will play a key role in ensuring our data infrastructure is scalable, efficient, and reliable to support our data-driven decision-making processes.

Key Responsibilities:

• Design and Development:
• Develop, construct, test, and maintain scalable data pipelines using Big Query, Composer, Dataproc, and other GCP tools.
• Design and implement ETL processes to extract, transform, and load data from various sources into the data warehouse.
• Ensure the architecture supports business requirements and allows for easy reporting and analysis.
• Data Management:
• Monitor and manage data workflows and pipelines to ensure data quality, integrity, and reliability.
• Perform data profiling and analysis to identify and address data quality issues.
• Optimization and Performance:
• Optimize ETL processes and data pipeline performance to handle large-scale data efficiently.
• Implement best practices for data governance, security, and compliance.
• Collaboration
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Troubleshooting and Support:
• Identify, diagnose, and resolve data-related issues and discrepancies.
• Provide support and troubleshooting for data pipelines and ETL processes.

Minimum of 5 years of experience as a Data Engineer or in a similar role.

Proven experience with Google Cloud Platform, specifically Big Query, Composer, Dataproc, and GCP Tools.

Strong experience with ETL processes and tools.

As the Site Consultant for a Global/Regional Data Center I ensure effective and timely coordination of CI Infrastructure activities and overall management of the specified sites by applying the GDC/RDC processes, services and tools.

Consulting

• Coordination of customer projects/activities within the GDC/RDC
• Interface to customer & order teams (first point of contact) to fulfill requirements
• Supports internal coordination (incl. prisonization) of timelines & task for HW installations
• Consults and documents the datacenter service scope
• Consults other PSOs teams and solutions teams as well as the datacenter teams in their activities in the GDC/RDC
• ACI Rollout Coordination

Data Center Management

• Integrate CI standards & products into the GDC/RDC
• Build and maintain a relationship with relevant stakeholders and customer for the GDC/RDC
• Define, report and improve relevant KPIs
• Coordinates quality management activities
• Supports business planning in alignment with controlling

Processes, Tools & Standardization

• International standardization and global alignment of processes
• Coordination of global teams to improve service and ensures local and international knowledge transfer
• Design, implement and documents new standards and processes for the service
• Coordinate tool landscape and implements requirements
• Supports business planning in alignment with controlling

Vendor / ESP Management

• First point of contact for service management
• Service package maintenance
• Financial planning & tracking
• Concept creation for upcoming requirements

Logistic Management

• Supports remarketing and logistics processes

Other Tasks

• Coordinate audits
• Planning & Coordination of Projects and new IT-Rooms and/or buildings
• Supports other teams PSO in their audits for datacenter related topics
• Required knowledge competencies and attributes
• Skill/Competency Cluster: Consulting Knowledge

SHIELD is a device-first risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activities. SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission – eliminating unfairness to enable trust for the world. 

Responsibilities

 As a Senior Data Analyst (Risk), you will be involved in supporting the risk operations by retrieving meaningful and relevant information from large databases, conducting data analysis to discover fraud trends and patterns. Thereafter, helping in designing long-term solutions to fight fraud. The insights you provide will contribute towards optimizing risk management strategies and creating business value by enabling trust for our clients.

• Handle end to end process from retrieving data, data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders in order for us to stay ahead of new and unknown fraud. 
• Utilize statistical tools to identify areas of potential fraud risk and/or potential areas of improvements to current fraud detection mechanisms. 
• Collect, validate, and clean data from various sources to ensure data accuracy and reliability. 
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis in complex and large dataset such as device metadata, user data, payment data – and coming up with proposals to address them and preventing future occurrence. 
• Improve and maintain dashboards to provide visibility of key metrics and fraud patterns for relevant stakeholders. 

• At least 5 years of experience as a hands-on data analyst. 
• Minimum Bachelor’s Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields. 
• Working experience in handling large-scale unstructured data. 
• Proficiency in SQL or other data handling tools. 
• Experience in using business intelligence tools such as Tableau, Qlik Sense, and Microsoft Excel. 
• Experience with any data analysis tools such as Python, R, SPSS and SAS. 
• Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud. 

• Engage in daily meetings, take meeting notes, and follow up with cross-functional teams.
• Support partnership conversations, maintain documentation, and facilitate effective communication and relationships with external partners.
• Foster close internal collaboration with the product, marketing, and design teams.
• Track market trends and categorize useful information daily.
• Collect and follow up on project information under guidance.
• Using data driven decisions to Identify high-quality channels and help connect the team with KOLs,PR channels, projects, etc.
• Assist in handling unexpected situations, including communicating with external stakeholders and internal teams, ensuring effective information transfer across different parties.
• Efficiently complete other tasks assigned by the team leader.

• Location: Jurong Island
• Working hour: 8.30 am – 5 pm

You will join the Quality Assurance (QA) Section which is equipped with advanced and comprehensive laboratory facilities. You will assist the chemist to contribute to the laboratory's commitment to meet relevant safety, environmental and quality management standards and support production process to meet organizational objectives.

Your Responsibilities

• To work with a team of analysts and technicians to perform testing and analysis of semi-finished and finished polyolefin product (Polyethylene and Polypropylene) via a variety of sophisticated analytical, processing and testing equipment.
• To establish, update and maintain procedures and other quality and safety records to ensure they are accurate and up-to-date, and in compliance with regulatory standards.
• To oversee proper upkeep of the laboratory equipment to ensure they are always in good working condition. To carry out basic troubleshooting in case of equipment trouble, or to work closely with the vendor’s technical representative to diagnose problems, troubleshoot issue and to implement solutions in a timely manner.
• To conduct regular monitoring of stock level of laboratory inventory supply, and upkeeping of inventory records to ensure smooth day to day operation.
• To collaborate with other Sales and Production members to assist in troubleshooting and technical investigation.
• To participate in laboratory ISO and safety activities that will contribute to a safe work environment and to comply to safety and environmental regulations.

Your Competencies

• Degree in Chemistry and/or a Diploma in Chemical Process Technology (major in Polymer Science or Material Science is a plus)
• Candidates with no experience are welcome
• Experience in polymer material processing and testing will be an added advantage
• Comfortable with working OT on Saturday when necessary

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

We are seeking a motivated and enthusiastic Junior Data Scientist and Research Analyst to join our Palm Platform team. The ideal candidate will have a passion for agriculture and a thirst for learning new skills. As a Junior Data Scientist and Research Analyst, you will play a key role in developing and applying analytical and machine learning solutions to tackle various agricultural challenges. You will have the opportunity to work with large spatial-temporal datasets, standard analytical packages, and financial instruments to support supply, demand, and marketing strategies. We are looking for someone who thrives on technology and innovation, excels at solving complex problems with creative solutions, and is adept at communicating findings to local and global stakeholders proactively.

Main Responsibilities:

• Contribute to database construction:  
  • Contribute to the construction and maintenance of internal databases and Python libraries.   
• Analyse internal and external data sources:  
  • Proactively monitor external data and market intelligence, stay abreast of routine releases, policies, and market trends. 
  • Analyse and extract valuable insights from data and market information.
• Develop high-quality models, including predictive models:  
  • Use high-quality statistical, econometric, and machine learning tools to analyze large-scale internal and public commodity-related data. This includes estimating supply, demand, and price models based on sound theory, and best-practice programming techniques, and state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.  
• Create and maintain dashboards and custom tools:  
  • Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies, while ensuring its integrity and accuracy 
• Present findings:  
  • Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.   

Experiences & Competencies:

• Knowledge of statistical methods and machine learning techniques, with practical experience applying them to real-world agricultural problems 
• Strong written and verbal communication skills – Know how to communicate/explain complex ideas in a simple way to non-technical stakeholders  
• Good time management skills and ability to manage multiple tasks and work to deadlines 
• Interpersonal skills, ability to forge relationships with colleagues and external contacts 
• Ability to work within a complex and international environment 
• Genuine interest in global economics and commodities markets 

Technical Skills:

• Advanced IT skills (e.g., Excel, VBA, PowerPivot, Power Query) 
• Good Programming skills (Python, etc.) and experience with data analysis libraries (e.g., Pandas, NumPy, SciPy, GeoPandas, etc.) 
• Strong command on SQL and Data visualization tools 
• Good Business Intelligence awareness 

Language:

• English (Fluent)

Academics:

•  Degree in Computer Sciences, Statistics, or Mathematics, or related field of study

We are Assembly – and we’re not like the rest. We’re the modern alternative agency, bringing together industry-leading data, talent, and tech to Find the Change That Fuels Growth for the best brands on the planet, including Lenovo, Lane Crawford, Marina Bay Sands, and more. Our diverse, global community of over 1,600 passionate experts combines global thinking with unmatched local expertise in more than 20 markets worldwide – enabling brands to engage and move consumers anywhere. We use STAGE, Assembly’s proprietary, privacy-centric data solutions platform, to surface powerful insights that transform into actionable brand opportunities. We’re at the cutting edge of new media, technology, and platforms embedded in the lives of today’s consumers, and we’re tapped into how culture and communities’ needs change. We do this while staying steadfast in our commitment to Leave the World Better Than We Found It through measurable social and environmental impact work.

Assembly was named The Drum’s APAC Media Agency of the Year in 2021

WHO WE’RE LOOKING FOR

An accomplished Account Manager who will take ownership of some of the key data consultancy client relationships we have in the region and is primarily responsible in leading the strategic growth and client relationship while overseeing the data projects delivery of these accounts.

Due to the complex nature of these key accounts, the ideal candidate must be able to demonstrate multi-tasking and time-management capabilities to manage client stakeholders and internal teams on global, regional and local levels.

WHAT YOU’LL BE DOING ON ANY GIVEN DAY

Client Responsibilities

• Lead / Support new business pitches when required
• Manage relationship with data and consultancy clients, ensure client retention and identify opportunities to further the relationship
• Translate client briefs (business objectives and goals) into data-driven strategy frameworks with actionable KPIs
• Identify cross & upsell opportunities, build proposals, define scope and commercials to pitch initiatives
• Keep abreast of channel and product updates within the agency, ensuring these are communicated to the client where appropriate
• Act as the client lead to provide strategic POVs and recommendations
• Drive data services and products adoption on the client’s side
• Develop local and regional data offerings and services where fits

Project Responsibilities

• Support account director to determine and define project scope and objectives, predict resources and budget
• Manage/Support technical data consultancy projects including advanced analytics, business intelligence, martech, data science
• Coordinate and collaborate with colleagues across departments and regions, clients, and other internal and external stakeholders to ensure smooth project delivery with high quality
• Develops, executes, and composes clear and effective communications, trainings, and post-delivery support plans
• Build stronghold of knowledge through clients’ engagements
• Support the spread of the Data Consultancy knowledge across the company at regional level

THE SKILLS WE’RE LOOKING FOR

Essential

• +5 years data experience in digital marketing industry, with at least 1.5 years in a client facing role
• Proficient in spoken and written English, any other language is a plus
• Confident client facing attributes
• Excellent communication and project management skills
• Numerical and analytical with experience working with data specialists
• Demonstrable experience in translating client objectives into feasible, well thought-out data strategies
• Good understanding of digital data ecosystem such as tracking and metrics
• Proven track record in managing complex accounts with multiple stakeholders while developing strong client relationships
• Proactive, motivated, self starter and willing to learn
• Attention to detail with the ability to effectively do initial troubleshooting to support the technical team

Desired Skills

• Numerical and analytical
• Experience in any of AA (e.g. GA, AA), BI (e.g. BQ, Tableau), Martech (e.g. GMP, CDP) or DS (e.g. Presto) is desired
• Experience in SQL is an advantage
• Understanding and experience with digital media channels is a plus, e.g. PPC, Social, Programmatic

WHY ASSEMBLY?

• We‘re part of Stagwell (NASDAQ: STGW), the challenger network built to transform marketing. We’re nimble, smart, and digital-first, and we’re quickly growing to take on the biggest legacy holdcos.
• We care about your growth — we offer competitive salaries, annual compensation reviews, and keep detailed personal development plans to ensure you’re hitting your personal and company goals.
• We recognize and celebrate your success...all the time! Whether it’s through company meetups, employee recognition programs, or just a regular day, we make sure our people’s achievements are known and appreciated!
• We’re truly a people-first organization. That’s why we operate in hybrid model with flexibility, Work from Anywhere Scheme, allows you to be in control of your work-life balance.
• We believe in making impactful change in society, we encourage you to take Impact Leave time off from work to engage in volunteer activities with a charity that you support.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experiences.
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Languages:

• English (Fluent)

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

• Compensation: Competitive Salary with AWS and Months Variable Bonus 
• Employment Type: Permanent 
• Location: Jurong Island, Singapore (Transport provided at designated point) 

Why Join Our Client?

• Innovative Environment: Be part of a dynamic team at the forefront of technological advancements in the chemical manufacturing industry.
• Career Growth: Access opportunities for professional development and career advancement within a global organization committed to nurturing talent.
• Impactful Work: Make a meaningful contribution to the success of our company while driving innovation and excellence in electrical engineering.
• Collaborative Culture: Thrive in an inclusive and supportive work culture that encourages teamwork, creativity, and continuous learning.

Key Responsibilities:

• Lead maintenance and instrumentation activities in manufacturing plants, ensuring safe and efficient operations.
• Coordinate and execute major field maintenance projects with a focus on worker safety and facility integrity.
• Collaborate with internal and external stakeholders to coordinate maintenance activities and ensure minimal disruption to plant operations.
• Drive instrumentation application studies and facility modifications to align with technical specifications and business requirements.
• Conduct training sessions to enhance the skills and competencies of staff and contractors.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards to uphold quality and safety standards.

Career Prospects:

• Access opportunities for advanced training and skill development to enhance your expertise in electrical engineering and management.
• Progress into leadership positions within our organization, leading teams and driving strategic initiatives.
• Gain exposure to various facets of the chemical manufacturing industry, broadening your skillset and knowledge base.
• Explore international assignments and projects, leveraging our global presence to expand your horizons and career prospects.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to collaborate effectively across different functions and with external partners.
• Only Singaporean candidates may apply.

If you're passionate about maintenance engineering and ready to take the next step in your career, apply now to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

PRISM+ is the largest Singaporean direct-to-consumer 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 organization, and we are seeking new teammates to join us on our exciting journey.

We are seeking a skilled and motivated Business Data Analyst to join our dynamic team. As a key member of our data analytics department, you will play a crucial role in extracting insights from large volumes of data, driving data-driven decision-making, and contributing to strategic initiatives across multiple countries (MY/AU/PH/SG). The successful candidate will be responsible for data visualization, resolving data quality issues, implementing data automation solutions, automating report generation, and incorporating artificial intelligence into workflows and staying up to date with the current technologies . Your expertise will be pivotal in automation processes, generating actionable insights, and effectively communicating findings through presentations. 

Responsibilities:

Automation: 

• Implement and maintain automated data pipelines and processes to streamline data collection, transformation, integration, and report generation. 
• Enhance efficiency and reduce manual effort by developing and overseeing automated workflows. 

Data Manipulation: 

• Manipulate and analyze large datasets to uncover trends, patterns, and insights that drive business growth and inform strategic decisions. 
• Utilize advanced data manipulation techniques to prepare data for analysis. 

Data Visualization: 

• Develop and maintain effective dashboards, reports, and interactive data visualizations. 
• Convey complex information to stakeholders and monitor key performance metrics through visual storytelling. 

Data Quality: 

• Identify and address data quality issues by collaborating with cross-functional teams. 
• Ensure the accuracy, consistency, and integrity of data sources to maintain high data standards. 

Machine Learning and Forecasting: 

• Collaborate with the team to explore machine learning opportunities. 
• Leverage data to build predictive models and enhance business processes. 
• Utilize historical data and statistical methods to create accurate forecasts and predictive models for various business metrics. 

• Provide actionable insights to support business planning and decision-making. 

Insight Generation: 

• Analyze data to identify trends, opportunities, and areas for improvement. 
• Generate actionable insights that drive strategic decision-making and support business objectives. 

Effective Storytelling: 

• Translate complex data findings into clear, concise, and compelling narratives. 
• Use PowerPoint and other presentation tools to communicate insights to both technical and non-technical audiences. 

Market Research: 

• Conduct thorough market research through webscraping to analyze market penetration and identify opportunities for expansion and growth. 
• Provide recommendations based on market analysis to support business development strategies. 

• Bachelor’s degree in Data Science, Business Analytics or a related field. 
• Proven experience in Data Analysis, Data Visualization, and Data Automation. 
• Proficiency in Data Analysis tools and languages such as SQL, Python, and visualization tools like Tableau. 
• Strong understanding of statistical methods and predictive modeling techniques and Artificial intelligence implementations. 

Personal Attributes: 

• Strong analytical mindset with a passion for data-driven decision-making. 
• Excellent problem-solving skills and attention to detail. 
• Excellent communication and presentation skills. 
• Ability to work collaboratively in a team environment. 

• Self-motivated with a proactive approach to identifying opportunities and solving problems. 

Unison Consulting Pte Ltd is seeking a skilled Data Migration Developer who will be responsible for all activities related to detailed design, development, and unit testing of data migration jobs during the implementation project. As a Data Migration Developer, you will utilize Azure Data Factory (ADF) and SQL to design, develop, and implement data migration solutions.

Responsibilities:

• Collaborate with project managers, data architects, and other stakeholders to understand data migration requirements and objectives.
• Create and maintain ETL pipelines to extract, transform, and load data from various sources to target systems.
• Develop SQL scripts, stored procedures, and queries to support data migration and integration tasks.
• Ensure data integrity, accuracy, and consistency throughout the migration process.
• Perform data mapping, data profiling, and data validation to identify and resolve data quality issues.
• Monitor and optimize data migration processes to improve performance and efficiency.
• Document data migration processes, workflows, and technical specifications.
• Provide support and troubleshooting for data migration issues and incidents.
• Stay updated with the latest trends and best practices in data migration, ADF, and SQL technologies.

• Proven experience in data migration projects, specifically using Azure Data Factory (ADF) and SQL.
• Strong proficiency in SQL, including writing complex queries, stored procedures, and functions.
• Experience with ETL tools and data integration techniques.
• Knowledge of data modeling, data mapping, and data profiling.
• Familiarity with cloud platforms, particularly Microsoft Azure.

• Analyze the Authority’s data needs and document the requirements.

• 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.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• 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.

Data Migration Developer is responsible for all activities related to detailed design, development, and unit testing of data migration jobs during the implementation project. DM developer will use ADF & PL/SQL for data migration & reconciliation activities.

Design, develop, and implement data migration solutions using Azure Data Factory (ADF) and SQL.

Collaborate with project managers, data architects, and other stakeholders to understand data migration requirements and objectives.

Create and maintain ETL pipelines to extract, transform, and load data from various sources to target systems.

Develop SQL scripts, stored procedures, and queries to support data migration and integration tasks.

Ensure data integrity, accuracy, and consistency throughout the migration process.

Perform data mapping, data profiling, and data validation to identify and resolve data quality issues.

Monitor and optimize data migration processes to improve performance and efficiency.

Document data migration processes, workflows, and technical specifications.

Provide support and troubleshooting for data migration issues and incidents.

Stay updated with the latest trends and best practices in data migration, ADF, and SQL technologies.

• Proven experience in data migration projects, specifically using Azure Data Factory (ADF) and SQL.
• Strong proficiency in SQL, including writing complex queries, stored procedures, and functions.
• Experience with ETL tools and data integration techniques.
• Knowledge of data modeling, data mapping, and data profiling.
• Familiarity with cloud platforms, particularly Microsoft Azure.

About the job
We are looking for a proactive enthusiast who drives our data infrastructure and shares our overall vision of “creating a better everyday life for the many people”. As a Data Engineer, you take on regional responsibilities, striving to deliver high quality data products focusing on the following key responsibilities.
 

Your assignment

• Building and maintaining required infrastructure for optimal extraction, transformation, loading and serving of data from various data sources.
• Monitor production pipelines to ensure data availability and data accuracy targets are met.
• Collaborate with the Data Infrastructure Manager to ensure our data architecture/infrastructure is scalable, fits the needs of our users, while improving load time and cost efficiency on a regular basis.
• Work with stakeholders including data/analytics, design/development, product and executive teams and support and assist them with their data infrastructure needs and data related technical issues.
• Document our data infrastructure, orchestration principles, coding standards and CICD pipeline(s).
• Support CICD pipeline(s), as well as data solution code repository and code migration processes.
• Collaborate and coordinate within our data and digital teams, business stakeholders, partners, and external vendors developing excellent data solutions and building long-term beneficial relationships.
• Be a part of a dynamic data team. Together we are putting data into co-workers’ hands and establish a data informed decision mindset.

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)