Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Get to Know the Team

As an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

As Senior Data Scientist, you will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions. You will report to the Senior Engineering Manager. This role is based onsite in Singapore.

The Critical Tasks You Will Perform

• Design and fine-tune the systems using machine learning algorithms based on the product requirement. You will choose appropriate algorithms, preparing and cleaning data, training and testing models, and optimising their performance.
• Design and implement A/B test. Generating training datasets for ML models and collecting feedback from the A/B experiments.
• Lead the CI/CD deployment pipelines.
• Develop data related APIs for application integration.
• Collaborate with other team members and engineers.

Qualifications

What Essential Skills You Will Need

• At least 3 years of industrial data science experience, with expertise in machine learning and statistical modelling.
• Programming skills in languages such as Python, Java and R.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorchetc.
• The knows how to and loves to build recommendation models
• The ability to write production ready code
• Experience with statistical concepts and machine learning algorithms.
• Experience with data wrangling, cleaning, and analysis.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.

Get to Know the Team

The ACE (Deliveries, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's fastest-growing segments: GrabFood, GrabMart, GrabExpress and OmniCommerce. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

This role is focused on leading analytical thinking for Chope, our most recent acquisition in the OmniCommerce space. Chope provides a suite of solutions for both consumers and merchants to manage their in-store dining. You will report to the Senior Analytics Manager, OmniCommerce and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
• You have the ability to help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
• You are able influence across your team and cross-functional teams. You should also be able to effectively convince senior stakeholders.
• You have exceptional skills in data visualization and storytelling. You should be adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
• You are fluent in SQL, Python, R, or other scripting/programming languages, you're a problem-solver at heart. Your comfort with very large datasets and complex ETL processes sets you apart.

Step into a pivotal role within an innovative IT solutions team, where you’ll design and implement tailored solutions that drive client success. You'll assess the financial and commercial impact of technical decisions, collaborate with the sales team to achieve targets, and lead pre-sales and deployment efforts. Engage in deep architectural discussions, shape solution offerings, and ensure smooth implementations that align with clients’ long-term goals and budgets.

YOUR NEW JOB

• Understand the commercial cost/financial/budget impact of products/solutions to be developed & recommend appropriate solutions
• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.
• Design of solution offerings: including services, support, training (classroom, roundtables, webinars).
• Defining Solution Components, Scope of Work, Deliverables, Effort Sizing & Pricing.
• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.
• Work closely with Sales team to provide full presales assistance to hit sales targets while adhering to cost-of-sales objectives
• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

WHAT IS NEEDED FROM YOU

• 2 years of hands-on experience as a consultant with pre-sales and implementation experience.
• 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.
• 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.
• Experience in building and migrating applications, software and services.
• Direct experience with Cisco routing/switching, wireless LAN controller, software-defined Network, Load balancer (Netscalers).
• Ability to address, persuade and interact with senior & executive level stakeholders - as well as all levels of system end-users.
• Knowledge of Competitive Products & Technology.
• In-depth knowledge of Implementation methodologies and best practices.
• Fluency in English.

WHAT WILL MAKE YOU STAND OUT

• Wide expertise in ICT field and systems, network, storage, virtualization, and/or security.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.
This is a hands-on individual contributor role and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• ​Create, manage, and document optimal data pipeline architecture.
• ​Understand technical architecture of data related platforms and provide advisory to other teams.
• ​Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
• ​Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

​Data Solutions Architecture

• ​Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
• ​Design best practices for data related implementations.
• ​Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

Technical Expertise

• ​Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

​Organizational Collaboration

• ​Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• ​Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• ​Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
• ​Collaborate with university departments on any technical solutioning required to support data platform requirements.

Qualifications

• ​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• ​Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
• ​Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• ​Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• ​Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• ​Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery.
• ​Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• ​Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

​Technical Expertise

• ​Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• ​Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
• Good working experience knowledge of master data management.
• ​Working experience in big data and DataSecOps is an added advantage.
• ​Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

SPD Scientific offers a comprehensive range of top-notch laboratory consumables, test-kits reagents, biomedical and laboratory equipment, and a host of microbiology culture media and diagnostic products. The company offers myriad benefits to customers in wide ranging industries, such as F&B sector, pharmaceutical, academic and government research institutions, and healthcare, by providing them the essential tools to assist in their medical research and discoveries.

Currently, we are looking for a Data Management Analyst to join our Team with the following responsibilities:

• Master Data Management: Oversee the global master data lifecycle processes, including the creation, validation, and deactivation of data specific to ERP, and CRM systems.
• Develop and enforce data governance policies and procedures maintained in the respective databases.
• Ensure data quality and integrity across the systems.
• Participate in cross-functional collaboration to support business requests.
• Suggest or support process improvements and best practices in relation to Data Management.
• Conduct regular data audits and quality assessments of the databases.
• Provide training and support to staff on data management practices.
• Resolve data-related issues and discrepancies within the systems.
• Maintain documentation for data management processes and policies.
• Able to translate business requirements into data modelling solutions and data infrastructure.
• Responsible for data migration and data standardisations within the organisations.

Qualifications:

• Bachelor’s degree in Information Technology, Business Administration, or other related fields.
• Minimum of 3-5 years of experience in master data management or a similar role.
• Experience in Microsoft SQL Server and possess advanced SQL queries skill.
• Strong understanding of data governance and data quality principles.
• Proficiency in data management tools and software (e.g., MSSQL Server Management Studio, Power BI, and Excel).
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience in using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

At GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.

We are seeking a visionary leader to head our team of talented and high performing AI professionals, data scientists and MLOps professionals, driving strategic AI initiatives that will help provide innovative financial solutions that are accessible, secure and user friendly. The Head of Artificial Intelligence and Data Science will be responsible for developing and executing the AI and data strategy to support the bank’s business objectives. This role requires a strategic thinker with deep expertise in Generative AI and machine learning. The ideal candidate will have a proven track record of leading high-performing teams, implementing advanced data-driven solutions, and driving innovation in a financial services or tech environment.

Key responsibilities:

• Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
• Lead and mentor a team of data scientists, GenAI data scientists, and GenAIOps/MLOps engineers to achieve departmental objectives
• Stay abreast of industry trends and advancements in AI and data science to ensure the bank remains at the forefront of innovation and provide thought leadership.
• Oversee and guide the design, development, and deployment of machine learning production models and AI solutions, ensuring the integration of AI and data science initiatives across the business units
• Collaborate with ecosystem partners to understand their data and acquire the optimal datasets for AI and ML solutions.
• Responsible for and has oversight of GenAIOps, which encompasses MLOps, deploying models in production, monitoring model metrics, and managing feature engineering pipelines, with a focus on efficiency, scalability, and meeting SLAs.
• Collaborate with senior stakeholders, business partners and external partners to identify and prioritise AI and data science initiatives that align with business priorities.
• Communicate complex AI and data concepts to non-technical stakeholders, ensuring a clear understanding of potential impacts and benefits to drive culture changes.
• Adopt a product-driven and market-driven mindset to translate technology into business applications.

Qualifications:

• Proven experience in building out AI strategy and implementing an end-to-end roadmap, while managing a team that includes GenAI scientists, data scientists, and GenAIOps/MLOps engineers.
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Extensive experience in machine learning (supervised, unsupervised and reinforcement learning and deep learning), GenAI, data science and natural language processing.
• Experience in managing senior stakeholders and management, in articulating the value of data to the business.
• Strong experience in showcasing the value of AI solutions
• Product-driven and market-driven mindset, with the ability to translate technology into business applications.
• Entrepreneurial mindset, eager to grow and take on challenges.
• Strong communication and interpersonal skills, with fluency in English and the ability to collaborate in multi-cultural environments.

Job description

You will be part of the Global Partnerships team, which supports the world’s leading publishers and helps drive accelerated business growth for them through our publisher business growth and platform solutions. The Global Partnerships Sales Engine (GPSE) team is a critical part of driving operational efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team centralizes work away from sales teams so that front-line sales leaders can concentrate their efforts on client-specific activities and continue growing a multi-billion dollar global business. The Global Partnership Sales Engine (GPSE) Team is an integral part of creating efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team is designed to accelerate operational activities and centralize work (e.g. operational activities like reporting, implementation and optimization) away from the sales teams so that they can concentrate their efforts on client-specific activities.

Qualifications

Job responsibilities

• Publish and communicate operational metrics/KPIs with some guidance.
• Contribute to creation of or maintenance of SOPs, process maps, workflow documentation, help resources, and relevant training and certification programs.
• Contribute to tracking and analysis for trends of operational characteristics in process or workflow performance and identify opportunities to improve operational procedures with some guidance (e.g., manage utilization, eliminate non-productive activities, create cross-site efficiencies, influence automation and robotics enhancements).
• Work with partner teams (e.g., service provider teams, internal teams) to set and implement process improvements and changes with some guidance. Define and implement workflow efficiency scoring frameworks to proactively and retroactively identify gaps in execution with some guidance.
• Support Sales users via the menu of services covering Optimization and Troubleshooting support. Maintain high service levels through meeting or exceeding CSAT, timeliness and efficiency goals.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in a customer or client-facing role supporting Account Management, Ad Operations or Project Management.

Preferred qualifications

• 2 years of experience building relationships with stakeholders or clients.
• 2 years of experience analyzing data and generating business insights in order to guide business decisions.
• 2 years of experience in managing vendor and outsourced providers.
• Ability to work with systems tools, such as SAP, homegrown systems, etc.
• Demonstrated analytical ( e.g. understand and analyze large data sets and simplify insights), operational efficiency ( e.g. streamline process flow) and stakeholder management ability.

Position Overview:

The incumbent manages the systems administration function and leads the organisation's system projects and environments. He/She focuses on setting goals and priorities and on mentoring and coordination as well as providing technical leadership. He/She plans and oversees systems upgrades and migrations and ensures systems are up-to-date with the latest patches and are coherent across the organisation. He/She directs the development and maintenance of technical documentation.

He/She possesses strong leadership and communication abilities, and is able to set realistic goals and implement appropriate plans to guide the team toward achieving those goals. He/She is able to address multi-faceted issues effectively and in a collaborative manner including across departments.

Responsibilities:

Set system administration processes

• Establish goals and priorities, design, planning, day-to-day operation, maintenance, and advanced troubleshooting of systems

• Align system administration with overall strategic IT service direction and business needs

• Assist with the development of business case justifications and cost/benefit analyses for spending and initiatives

• Anticipate internal and/or external business challenges and/or regulatory issues

• Develop policies, procedures, and controls to ensure system security

Develop New Systems

• Partner with stakeholders to recommend innovative and automated approaches for system administration

• Define systems requirements for new technology implementations

• Prepare for system expansion by studying plans and requirements

• Oversee the design, maintenance and implementation of the systems

• Prioritise tasks to ensure projects are implemented in accordance with project plans and budgets

Optimise Systems Performance

• Recommend process, product or service improvements, resource optimisation and cost savings

• Oversee hardware and software upgrades

• Recommend new technologies, methodologies, systems or opportunities for cost savings, security and service quality improvement

Manage Teams

• Oversee team management including budgets, forecasting, work allocations and staffing

• Develop staff through ongoing coaching, mentoring and career discussions

• Define common goals, direction and accountability among staff

• Drive effective performance management practices within department in accordance with company policies and procedures

Requirements / Qualifications

1. Degree in Computer Science, Computer Engineering

2. Experience in developing, implementing and maintaining data projects or analytics systems with at least 8 years of project operation management experience

3. Highly-motivated self-starter who will undertake all activities to the highest professional standards

4. Must be cloud certified. Working experience in IDMC, Databricks, Sagemaker, Tableau with AWS exposure

5. Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques

6. Experience in managing a team in operations support and project implementation work

7. Certification in IT operation management is preferred

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating deals, managing vendor and partner relationships and presenting deal recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business.

Additional job description

The Public Affairs team focuses on telling our story to decision-makers, opinion formers, and data center communities. We are focused on creating inclusive, strategic, and scalable solutions that have authentic and universal impact.

As the Public Affairs Manager for APAC, you will advise on how to shape our data center initiatives in a way that is aligned to state and local government priorities. You will lead the maximization of partner opportunities to partner with state and local institutions and tell the story of our data center commitment.

Qualifications

Job responsibilities

• Provide public policy through leadership, assist in building our workforce development pipeline, and build relationships within Google and externally by networking.
• Manage our economic, sustainability, and social contributions to create connections between technology and modern life.
• Provide region specific business advisory support for economic development agreements, including commercial review of terms, tax implications and infrastructure funding.
• Assist with various economic development and market advocacy team projects including data analytics and data hygiene.
• Collaborate with cross-functional partners including, but not limited to, tax, finance, legal, policy, and communications on a variety of economic development matters.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience working with public policy teams and cross-functional stakeholders.
• Experience with economic development issues such as direct or indirect taxes, tax policy, or infrastructure development.

Preferred qualifications

• Experience in indirect taxes, economic development policy, infrastructure development, agreement drafting, and presentation development. Experience with data center real estate markets.
• Experience developing and executing strategies to deliver exceptional solutions.
• Excellent attention to detail and political/communication skills.
• Ability to identify opportunities and areas for improvement, and operate in a fast-paced environment.
• Ability to think outside the box and propose commercially and technically creative solutions.
• Ability to comfortably work in ambiguous, collaborative, and fast-paced environments.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Familiarity with data visualization tools like Tableau or Power BI.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines

Job Description & Requirements

Responsibilities:

1. Responsible for maintaining our machine learning framework
2. Responsible for the cleaning, processing and analysis of both unstructured and structured texts in the FinTech area
3. Participate in the development and upgrade of our machine learning and data mining algorithms

Requirements:

1. Degree in Computer Science or similar field
2. 1+ years experience in data processing, data analytics or data visualization
3. Proficient in Python programming language
4. Familiar with data analytics libraries like NumPy and Pandas
5. Experience with relational databases (e.g. MySQL) and key-value databases (e.g. Redis)
6. Experience in RESTFul API service development and familiarity with HTTP / TCP
7. Familiarity with Container techniques including Docker and Kubernetes is preferred
8. Strong communication skills in Chinese and English to communicate with associates

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Purpose:

This position is responsible for analysis and reporting for our ecommerce business, encompassing multiple customer touchpoints across the website, customer care, and digital. This person will play a key role in supporting our ecommerce team, including identifying opportunities for improvement, expanding our analytics capabilities, and delivering actionable insights about the business.

Minimum Eligibility Requirements:

• Bachelor's degree in analytics, business, or a related quantitative field (relevant experience can be substituted for the required education on the basis of one calendar year of experience for one academic year of education)
• 2+ years working in an analytics role, with a focus on digital and/or call optimization preferred
• Demonstrated experience in data extraction/shaping (e.g., SQL), statistical analysis (e.g. R, Python), and data visualization tools (e.g. Power BI, Tableau)