Total 4,022 data entry job vacancies in Information Technology category in Singapore

Data Scientist

6 months contract, high potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class US Healthcare company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is a US healthcare company with a broadly diversified business across consumer, pharmaceutical and medical device segments. With over $93B in 2021 sales, they have more than 140,000 employees across 60 countries with a heritage of more than 130 years.

Summary:

The Asia Pacific Data Science Center of Excellence Team within organisation Innovative Medicine is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients.

We are currently looking for an enthusiastic Data Scientist with exceptional analytical, communication and problem-solving skills to join our data science team, as we work on transformational data science initiatives that are innovating and changing the way the organization operates.

As a member of the data science centre of excellence team, you will report to the Data Science manager, and will leverage your technical and communication skills to work on maintaining existing and developing new innovative data science models and algorithms. Your ability to learn quickly, demonstrate enthusiasm, bring a depth of machine learning understanding, and an appreciation for developing great products for our customers will be paramount to your success in this role. Primary focus areas include improving customer engagement, supporting our different therapeutic areas with innovative products. Specifically, you will:

• Maintain machine learning pipelines (I.e. exploratory data analysis, build and maintain features, train, and validate machine learning models).
• Collaborate with data scientists, analysts, project managers, engineers across APAC to conceive, develop, and implement new analytics solutions to high-priority problems our stakeholders face.
• Support the building and optimization of statistical and AI ML models by identifying valuable data sources and undertake pre-processing of structured, unstructured, and noisy data.
• Apply modelling techniques to build, test and validate basic models using simpler and cleaner datasets.
• Learn and upskill on additional data scripting languages or statistical / mathematical software as required.
• Participate in internal and external forums, committees, conferences, associations, etc.
• Seek out data science trends and best practices to integrate into the organization practices and methods.

Qualifications

Key to your success in this role will be your strong analytical skills combined with the ability to diagnose issues and enthusiasm for data problem solving. Other requirements include:

• Masters, PhD, or equivalent degree in a STEM (Science, Technology, Engineering, and Mathematics) discipline is required. Examples include but are not limited to Computer Science, Statistics, Mathematics, Machine Learning, Physics, Pharmacy, Molecular Biology, Bioinformatics, Computational Informatics, Computational Biology, or a related discipline.
• Proficiency in Data Science and Machine Learning Engineering, with a solid understanding of machine learning algorithms.
• Demonstrated experience in developing and deploying machine learning models in production systems.
• Strong programming skills in Python for data manipulation, analysis, and model development.
• Solid understanding of software engineering principles and ability to write clean, maintainable, and scalable code.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark) is a plus.
• Strong problem-solving skills, attention to detail, and ability to work independently with limited guidance.

Interested parties, please click on APPLY button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

• In the Demand Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. We are responsible for building ML models and serving them in production to support Grab’s Advertising and Marketing services.
• Our primary goals are to help consumers discover the most attractive product, to enable the most efficient marketing campaigns for our merchants/advertisers to meet their business goals, and to build a sustainable business on our platform.
• We apply machine learning, forecasting, recommendation and optimisation techniques to huge datasets in order to model how our consumers interact on our platform under different marketing strategies. We also continuously run large-scale live experiments to improve on our implementations.

Get to know the Role

Explore and extract insights from massive dataset of geospatial, behavioral, economic, and tens of millions of interactions of our customers on our platform across multiple business verticals (eg, Food, Mart, Transport, etc) regionally

The Day-to-Day Activities

• Implement, validate, test, and deploy data science solutions to address particular business use cases, Scope of work includes, but is not limited to, customer segmentation, customer LTV, recommendation, conversion rate prediction, rank & re-rank, demand forecasting, campaign targeting and optimisation, etc.
• Continues improvement through iterative model enhancement and A/B testing.
• Collaborate with other data scientists, software engineers, and business operation teams to deliver business solutions.

The Must-Haves

• Master's Degree graduate in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field.
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization.
• Proven track record of fast learning of new data science and ML/AI technologies.
• Experience with machine learning framework (scikit-learn, Spark MLlib, Tensorflow, pytorch, etc)
• Proficient in one or more of the following programming languages: Python, Scala.
• Self-motivated, independent learner, and willing to share knowledge with team members.
• Detail-oriented and efficient time manage in a dynamic working environment.

The Nice-to-Haves

• Experience with building recommender systems, customer segmentations, campaign targeting, Ads bidding, campaign optimisation and etc.
• Experience with algorithm and model development for large scale applications.
• Hands-on experience with one or more big data processing frameworks such as Spark.
• Experience with applying CI/CD principles to data science projects.
• Experience with real-time data processing technologies such as Flink, Kafka, etc.

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Responsibilities

• Demonstrate understanding of the business to identify, analyse and interpret patterns or trends in data sets that help in improving business performance.
• Import data from various external and internal sources to bring meaningful insights into the business.
• Build and maintain tableau dashboard for departments and management to track key indicators.
• To write R/Python scrips to transform existing data to obtain approximation of required data.
• Identify data sources; collect data through manual or automated means; source missing data; clean, transform and organize data into usable format/structure.
• Support in data flow and process flow documentation and identify gaps.

Requirements

• A bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management is required.
• 2 to 5 years of relevant work experience
• Strong analytical skills are essential for interpreting complex data sets and identifying trends, patterns, and insights.
• Proficiency in programming languages commonly used in data analysis such as Python, R, SQL, or others.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Understanding of mathematical concepts such as probability, calculus, algebra, and statistics is crucial for analysing data effectively.
• Understanding of business processes and objectives to provide data-driven recommendations and insights that align with organizational goals.
• Familiarity with database systems and data querying languages (MS SQL).

Interested candidates who wish to apply for the advertised position, please click APPLY to submit your resume.

EA License: 13C6305

Reg. No.: R22108000

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use, or disclose your personal information for purpose in connection with the services provided by us.

• Oversee and manage daily operational activities to ensure smooth and efficient workflow.
• Analyze existing operational processes to identify areas for improvement and implement process optimization strategies.
• Digitize, automate and implement operational policies and procedures to maintain consistency and compliance with quality standards.
• Monitor operational performance metrics to track progress,
• Collaborate with cross-functional teams and external partners , including production, logistics, sales, and customer service, to streamline processes and resolve operational issues.
• Prepare and present operational reports to teams and management, highlighting key metrics, trends, and recommendations.
• Compilation all reports sent and review for accuracy for information as part of operational set up with Partners New Business services

Requirements:

• Proficient in Excel and Tableau
• Able to extract data, chase and pull together reports

JANE LUI JIE'EN

Personnel EA Registration Number: R1104482

Recruit Express Pte Ltd EA Licence No: 99C4599

About HyperGAI

HyperGAI, building Hyper General AI platforms with world's leading Multimodal Generative AI, empowers everyone to work and live better in a whole new way. We are a small but fast-growing Generative AI deep-tech startup, founded by globally renowned AI thought leaders and a group of exceptional AI experts, talented researchers and experienced engineers. The growth and success of HyperGAI are driven by our amazing employees who believe in the same mission and live with our core values of agility, innovation, trust and one-team. Join us!

Job Details:

We are seeking a highly motivated and entry level data engineer to develop exciting Generative AI (GenAI) products. Candidates should have at least 1 year of coding experience.

As a data engineer, you will work with other teams to ensure the smooth progress of product iterations, continuously improve the user experience of the product through in-depth understanding of the business and products, and use technology to drive business growth. Your expertise will play a key role to build our products and achieve our vision.

Responsibilities:

o Cooperate with other teams to jointly ensure the smooth progress of product iterations.

o Understand the business and products in depth, continuously improve the user experience of products, and use technology to drive business development.

o Collect, filter and process AI training data. (Multi-modal data including text, image, video)

Qualifications:

o Possess a Bachelor’s degree or above in computer or software related majors.

o Proficient in one or more programming languages such as Golang/Python/PHP/Java and good coding standards.

o Keen in AI industry (AIGC).

o Multi-modal data including text, image, video is preferred

Mandatory Skills

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, and customer hyper-personalization.
2. Work with quants, traders and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Develop causal models and optimization algorithms to dynamically price financial products and respond to market volatility.
4. Strategize, execute, and evaluate marketing campaigns and pricing experiments.
5. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the selection of optimal methodologies.
6. Perform hypothesis testing to discover causal drivers for customer and market behaviours.
7. Implement and train AI/ML models, optimizing algorithm efficiency through GPU distributed computing and concurrent programming.
8. Write and refactor code into reusable libraries/ APIs, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

• Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.
• Exceptional software skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with expertise in design patterns, code optimization, and object-oriented programming.
• Experience applying quantitative and machine learning algorithms to pricing and marketing domains.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.
• Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.
• Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

Key Skills:

Python, machine learning, causal inference, SQL, experimentation, A/B Testing, Multi-Armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis.

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know our Team:

Grab’s Fulfilment-Dispatch Data Science team works on challenging and fascinating problems surrounding Grab’s allocation capabilities — ensuring our passengers, driver-partners, consumers and merchants enjoy a reliable fulfilment experience.

Allocation is simply this question: “Given a new booking request, which driver-partner is the best match for this booking, accounting for all other pending bookings now, and all potential bookings and driver-partner movements in the future?” Efficiently solving this problem requires working on domains and techniques such as statistical/machine/deep-learning-based prediction, optimization, simulation, graph theory, offline and online learning of contextual parameters, and geospatial data mining. We apply these techniques on our high-volume high-velocity datasets to drive optimal business outcomes.

We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate. We are looking for candidates who are excited to work on challenging problems, who can apply their breadth and depth of knowledge to design innovative solutions, and who push boundaries in improving the growing suite of allocation-related services for our users.

Get to know the role:

• Design creative scalable allocation methods that adapt to changing market conditions
• Understand business needs, identify areas for investigation, translate them to technical problems to be solved
• Build, deploy and own production-grade models and services as they serve millions of requests every day
• Iterate on existing allocation features to drive continual improvement

The day-to-day activities:

• Research, analyze high-volume high-velocity data, build quick prototypes, and engineer them into production
• Design data pipelines and conduct experiments to measure the impact of your work
• Effectively communicate results and their implications to business/product stakeholders

The must haves:

• PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, Transportation Engineering, or related technical disciplines with 3+ years of DS work at a technology company; or equivalent experience
• Strong Machine Learning fundamentals:

1. Understanding of machine learning algorithms and their ecosystem (data, model persistence, tooling, development lifecycle)
2. Experience in developing production-grade ML systems including exploratory analysis, feature engineering, developing data pipelines, observability and maintenance etc.

• Strong aptitude in statistics and large-scale data analytics:

1. Understanding of probability and statistics (e.g. hypothesis testing, modeling distributions / regressions, Bayesian statistics etc)
2. Experienced in running live experiments (A/B tests, randomized controlled trials) and analyzing their results
3. Experienced with relational databases, SQL, and distributed computing frameworks (Spark, Kafka stream processing)

• Strong software development skills:

1. Proficient in Python. Skill in Golang, Scala or Rust is an advantage.
2. Familiar with Git-based source control, code reviews, test-driven development, cloud-based development (AWS/Azure)

• Self-motivated, independent learner, and willing to share knowledge with the team
• Detail-oriented and efficient time manager in a dynamic working environment
• Able to communicate well in English both verbally and in written communication, as well as convey data insights and results with effective visualizations.

Nice to have:

• Experience in working with geospatial/mobility/logistics data
• Experience in designing probabilistic models at scale in production
• Familiar with modern data pipeline and warehousing stacks (e.g. Hive, Pinot, Airflow, Presto/Trino etc)
• Expertise in any of these specialized domains: graph theory/processing, optimization of stochastic problems, agent-based simulation, adaptive control, reinforcement learning
• Experience with designing, deploying and maintaining microservices (e.g. on Docker / Kubernetes) to serve production models is a big plus

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

Requirements

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg


Interested Applicants
Please WA Bryan Tay @ 97559161
Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Contract: 1 year

Location: Tuas (bus pickup at JE)

Working Hours: Mon-Fri office hour

Pay: $2200 - 2600

Job scope

• Accurately and efficiently encode all data that needs organizing and recording

• Confirm that entered data accurately aligns with original documentation

• Organize and maintain original paper evidence

• Assure files are properly prepared and saved to backup drives

• Transcribe, scan or photocopy hard copy documents and forms as needed

• Self-audit your work checking for errors or duplication

• Organize files in a logical and manageable fashion

• Adhere to and meet set schedules and deadlines

• Input, track, and maintain all encoded data and records

• Report any major errors or inconsistencies to upper management

• Maintain report logs of in-progress and/or completed work

• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job requirement

• Min. Dip in Science

• Comfortable to travel to West

• Able to commit 1 year

• Proficient in Microsoft Excel

If interested, please email me at [email protected]

➖

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Job Summary:

This dynamic role requires an individual with strong technical expertise, business analysis skills, and leadership potential. The selected candidate will bridge the gap between user needs, developers and technical solutions, manage a range of IT functions including devices, accounts, servers and helpdesk, to ensure efficient IT operations. He/she shall assist in the planning, procuring and managing the ICT, PA and AV solutions that support school operations, administration, data management and protection. He/she shall organise and conduct relevant staff training for the implementation of the IT systems and utilization of the ICT tools in the school. One needs to be proactive, adaptable, and innovative with a passion for supporting IT in the Special Education sector

Duties and Responsibilities:

• Co-ordinate and support the use of ICT in daily teaching and learning and school programmes as tasked by school management and HOD (IT).
• Manage and advise the staff on matters pertaining to the school integrated data system, including liaising with the vendor to troubleshoot and provide solutions to issues raised.
• Responsible for insuring the day-to-day operation, reliability, and integrity of the network infrastructure, including installation, maintenance, and management of all data network equipment.
• Provision of users’ access through Active Directory (AD), de-provision and maintenance of users’ accounts.
• Administer and support Microsoft Office365, and the associated emails accounts and mailboxes.
• Manage the school’s ICT resources (including PCs, notebooks, ipads, SMARTBoards, printers, PA & AV equipment, charging carts) including performing tech refresh, maintenance, condemnation, upgrading and inventory check.
• Ensure that all school policies, guidelines and standards are adhered to (including documentation, safety checks, etc).
• Proactively scan the market for technology trends and new tools that support special education school operations & administration and introduce innovative ICT projects for school’s consideration with reference to its ICT needs.
• Plan and purchase ICT equipment and resources in support of school daily operations and administration.
• Organise and conduct staff briefings and training for the smooth implementation of all ICT-based operational & administrative systems.
• Provide PA/AV support for all school events and undertake other ICT or operational tasks as assigned.

Job Requirements:

• A Diploma in IT, Computer Science, Engineering or related qualification
• Minimum 3 years of relevant working experience of ICT support
• Any professional certifications (administration/support) from Microsoft 365, Apple or equivalent will be a plus
• Understanding of networking protocols and security technologies

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Minimum total three years’ work experience
• At least a Bachelor’s degree

Responsibilities:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Root cause investigation and resolution for complex problems.
• Documentation experience - Technical design, Unit test scripts, Code migration document.
• Work closely with functional heads, stakeholders to understand the requirements and deliver solutions.

Requirement:

• 4 to 5 years’ experience on OFSAA - Profitability Management and Fund Transfer Pricing.
• Knowledge of Dimensions, Hierarchy, post load transformation changes, OFSAA - Services, Batch executions etc.
• Knowledge of Erwin data model changes.
• Experience on SQL, PL/SQL, and Unix shell scripting.
• Experience with Schedulers – preferably Control M.
• Minimum 2-3 implementation experience.

To apply please click the Apply button or send us your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is undergoing a growth phase and are on the lookout for talent. Applicants are encouraged to follow Percept Solutions on LinkedIn @ https://www.linkedin.com/company/percept-solutions/ to stay up to date on our upcoming roles and events.

The Deputy Technical Manager is responsible for all technical operational activities for building/ civil & infrastructure engineering projects, managing the technical department as well as providing engineering & planning services for tender and support services to projects. This role will be supporting a Data Centre project.

A summary of the responsibilities of this position are, and not limited to, as follows:

• Overall responsible for all permanent and temporary works design and design optimization by managing the appointed consultant to ensure that project is delivered within budget
• Responsible for handling client and consultant, coordinate with consultants, client and authorities for design matters and submission.
• Oversee the shop drawings submission and issuance, planning and control delivery of design schedule, monitoring the progress
• Coordinate and support the construction and other departments within the project to fulfil design requirement
• Resolve all technical queries and submit/raise Request for Approval / Information (RFA/I) to concern parties to clarify any ambiguous design details
• Review technical specifications and proposals submitted by Consultants / Subcontractors / Suppliers and produce procurement specifications
• Adherence to safety practices in the work place

Value Add of Position

• Excellent client facing with strong people orientation ability to build and develop positive relations
• Possess strong skill in developing and delivering effective communication to different audiences
• Able to lead and inspire high performance, to ensure project plans are implemented on a timely, efficient and effective basis

Qualifications and Education Requirements

• Education: Degree in Civil Engineering from a recognised university endorsed by PE Board or qualification acceptable to the Commissioner of Building Control
• Experience: Minimum 8 years of engineering experience in delivering large scale projects
• Past experience in Data Centre project will be highly preferred

Do you like working with data? Do you want to use data to help drive the direction of products that empowers people around you to do their best work? If yes, we want to talk to you. The modern workplace is evolving at lightning speed, Meta is evolving its products and policies in ways that address these challenges while maintaining the best parts of its culture. As part of Enterprise Products, you'll be building world class Enterprise products for Meta.

We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insights. The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies.

RESPONSIBILITIES

• Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
• Build a high-quality BI and Data Warehousing team and design the team to scale.
• Build cross-functional relationships with Data Scientists, Product Managers, User Experience Researchers and Software Engineers to understand data needs and deliver on those needs.
• Manage data warehouse plans across a product vertical.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Manage the development of data resources and support new product launches.
• Drive data quality across the product vertical and related business areas.
• Define and manage SLA’s for all data sets and processes running in production.
• Manage the delivery of high impact dashboards and data visualizations.
• Development experience in at least one object-oriented language (Python, Perl, Java, etc.).

MINIMUM QUALIFICATIONS

• Communication and leadership experience, with experience initiating and driving projects.
• Project management experience.
• Experience scaling and managing 3+ person teams.
• 6+ years of experience in BI and Data Warehousing.
• Experience in SQL.
• Data architecture experience.
• BA/BS in Computer Science, Math, Physics, or other technical fields.

PREFERRED QUALIFICATIONS

• Experience with building scalable data solutions
• Experience with Hive, Presto, data visualization tools (e.g., Tableau), and/or relational database management systems

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

(Hiring for new branch located at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Mon.- Fri. Office working hours
• Salary Range: Basic salary $2,600 ~ $3,500 + Incentive/Commission + Creative Performance Bonus)

Responsibilities

• Responsible for developing long term customer relationship and maximizing customer retention;
• Support on pre-sale and post-sale, not limited to solution proposal on technical requirement, design & budget control, timeline management, etc. based on projects;
• Participate in industrial related exhibitions, marketing campaigns/events;
• Other ad-hoc duties assigned by the superior.

Qualifications

• Min. Higher Nitec in Engineering (any field), or equivalent;
• Entry level applicants with the right learning attitude and positive minder are welcome to apply as comprehensive On-Job-Training will be provided;
• Excellent written and oral communication skills
• Pro-active, possess technical and Negotiation/social problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work.

(We regret to inform that only shortlisted candidates will be notified)

This is a 12 months contract assinged to our clients

Work Location:Suntec Office Tower

Salary: $3,500-$4,000

Job Description:

1. Possess a recognised Degree relevant in the service industry.

2. Have at least 3 years of relevant experience in contact centre industry including data/trend prediction &

analysis, self-help migration.

4. Actively making FAQs refinement, recommend CSOs training needs based on customer experience.

5. Fresh graduates are welcomed too (knowledge of Data Analysis)

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities:

Contribute to building and maintaining data systems or pipelines.
Perform setup, installation, configuration, troubleshooting, and upgrades for COTS products.
Develop and implement improvements for data warehouses, data lakes, or equivalent platforms.
Participate in creating documentation, including design documents and troubleshooting guides.

Requirements:

Possess knowledge and/or hands-on experience in data management or data engineering.
Demonstrate proficiency in Linux commands, shell scripting, and various programming languages.
Experience with relational databases and NoSQL databases, data integration tools.
Familiarity with data/search/automation platforms and analytics tools
Knowledge and/or practical experience with Microsoft Azure Cloud services

Experience in one or more of the following will be an advantage:

Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively

Data integration tools such as Talend, DataStage, Denodo

Programming languages such as Python, Spark

Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics

Analytics platforms such as Databricks, Dataiku, Data Robot

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Key Highlights:

• Great Exposure to the government sector in tech industry
• Nearest MRT: Labrador Park
• Salary: Up to $3,450 per month
• Contract Duration: 11 months
• Working Hours: Monday – Friday (Office hours)

Key Responsibilities:

• Provide administrative support to the team for the development of automation script using existing tools on teck stack on digitisation projects and data management for the undergraduate and postgraduate scholarships.
• Collect, analyse and synthesize data from various sources and programmes to generate insights, as well as to extract data and analysis, including data visualisation, to answer key questions from stakeholders.
• Assist in any ad-hoc duties and projects

Key Requirement:

• Only Singaporean
• Diploma/Degree in any field
• Proficiency in Microsoft Excel is a must for data entry/analytic purpose.
• Knowledge in Workato/UIpath, Python/Pyspark/SQL will be an advantage

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

The Fulfillment tech family is one of the pillars enabling Grab to out-serve our consumers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use sophisticated machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill consumer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and consumers.

Grab is Southeast Asia’s leading super-app. We provide everyday services such as deliveries, mobility, financial services, enterprise services and others to millions of users across the region. At the fulfillment machine engineering team, we are trying to solve challenging problems in the marketplace that involve dynamic pricing, supply and demand management. We are looking for senior machine learning engineers to join the team to help us make that vision a reality by developing and refining cutting-edge reinforcement learning models and simulation platforms.

Get to know the Role

This is a hands-on role involving building large-scale simulation platforms and reinforcement algorithms. You will have the opportunity to build a digital twin of Grab’s marketplace that consists of tens of thousands of consumers, drivers and merchants. Furthermore, you will have the opportunity to develop reinforcement learning, optimization and control models to solve business problems inside Grab’s marketplace and deploy them at scale.

The ideal candidate will have solid understanding of software development life-cycle and engineering practices, experience developing production ML systems, experience working on a range of regression/classification and optimization problems, experience applying reinforcement learning (or control theory), experience working with real-time streaming data.

The Day-to-Day Activities

• Architect and develop our simulation platform to simulate the response from the real marketplace that involves different types of services that Grab is providing
• Collaborate with product analysts, managers and business teams to define, prototype and build simulation SDKs to facilitate users to run simulations under different scenarios
• Architect and develop reinforcement learning frameworks to train and run reinforcement learning algorithms at scale, provide efficient optimization solutions to challenging business problems such as pricing, demand and supply management.
• Collaborate with data science and economists teams to solve difficult causality and behavior modeling problems for building more efficient simulation and reinforcement learning algorithms
• Engage in service capacity and demand planning, software performance analysis, costing, tuning and optimization.
• Participate in code and design reviews to maintain our high development standards.
  
  The Must-Haves
• A degree in computer science, software engineering, information technology or related fields
• 5+ years of experience in one or more of the following areas: general machine learning, deep learning, reinforcement learning (control)
• Solid understanding of engineering practices and design patterns, experience in writing readable, maintainable and testable code
• Familiarity working with VCS such as git, git-flow, understanding of full software development life-cycle
• Experience turning business problems into ML/AI-projects
• Experience with any ML framework, such as TensorFlow or PyTorch
• Proficiency in Python
• Experience in any of Scala/Java/Golang/C++
• Experience with any big data framework, such as Spark, Ray familiar with the concept of processing events in real-time
  

The Nice to Have

• A Masters or PhD in computer science, machine learning or related fields
• Experience working with streaming data using Apache Flink, Apache Spark
• Experience developing production quality ML Pipelines
• Experience with MLFlow, TensorFlow probability, TensorFlow agents, Ray RLLib
• Experience with distributed systems and cloud services (AWS, GCP, AZURE)
• Experience applying reinforcement learning for solving real-world problems (robotics, finances, etc.).
• Understanding of probabilistic modeling and differential programming, ability to design/build probabilistic simulators
• Contributions to open source projects

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Optimum Solutions (Registration Number: 199700895N) is Singapore's leading Information Technology , Consulting and Professional Services company with Competence in Digital Transformation, Automation, Robotics, Cloud, Big Data, Analytics and Emerging technologies projects. Optimum has been successfully delivering IT projects since 1997 and has been a key IT service provider to clients delivering Software Design, Development, Engineering and IT Transformation Projects.

Job Requirements:

Role : Technical Delivery Manager - Data Lake

• 12+ years of experience of Data Management Project Management experience or similar hands-on technology leadership role.
• Must have current working experience as Technical Delivery Manager (Data Management) into Banking or financial or insurance domain for at least 8+ years.
• 8+ years experience with large scale technology modernizations and platform migrations of data warehouse, data marts, reporting tools- must
• Must have current experience in Enterprise Data Lake in banking and financial services projects for at least 5+ years.
• Deep knowledge of modern data technology stacks, software development tools, application and system performance monitoring, patterns and practices required to build highly available and scalable services
• Strong understanding of infrastructure, integration, virtualization, storage, networks and security technologies in the context of Data programs
• Expertise in large databases involving Oracle, Teradata - must
• Expertise in Data Integration tools/platform Informatica, IBM Data Stage - must
• Expertise in Big Data Engineering tools/platform Cloudera, Horton Works, APACHE
• Deep expertise in HDFS, HIVE, IMPALA, Kafka, SPARK, YARN is a plus
• Has operated in a mixed portfolio of cloud-native and legacy technologies
• Recent experience with technology transformations, integrating effective Agile planning and development practices across large organizations
• Understanding the cost of trade-offs of various technology decisions and be able to model short and long-term implications.
• Domain- Banking
• Work location is Alexandra.