Total 3,963 job vacancies in Singapore

About our group:

The AI and Tools Development team is at the forefront of AI Transformation within Seagate's Product Development Group. Our mission is to leverage AI technologies to accelerate product development, ensuring that we meet production volume and reliability standards. By utilizing AI, we enhance our research capabilities and drive continuous innovation.

About the role - you will:

• Join a dynamic data science team focused on using data to drive business growth and innovation.
• Work closely with senior data scientists to analyze data, develop models, and generate actionable insights.
• Contribute to solving complex, real‑world problems through data‑driven approaches and analytical thinking.
• Assist in the collection, cleaning, and preprocessing of large datasets from multiple internal and external sources.
• Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business and engineering decisions.
• Develop and implement machine learning models and algorithms with guidance from senior data scientists.
• Collaborate with cross‑functional partners to understand problem statements and translate business needs into data‑driven solutions.
• Create clear data visualizations and reports to communicate insights to both technical and non‑technical stakeholders.
• Participate actively in team meetings, technical discussions, and continuous learning initiatives.

About you:

• Intrinsic motivation and strong attention to detail, with a commitment to delivering high‑quality, well‑reasoned work.
• A genuine passion for applying data science and analytics to solve meaningful and complex business problems.
• A growth‑oriented mindset, demonstrated through continuous learning, openness to feedback, and hands‑on skill development.
• Strong analytical and critical‑thinking abilities, with comfort navigating large, complex, and sometimes ambiguous datasets.
• Clear and effective communication skills, with the ability to convey complex technical concepts to both technical and non‑technical audiences.
• A collaborative and team‑oriented approach, contributing positively to a high‑trust, high‑performance environment.
• Proactive curiosity and self‑drive to stay current with emerging trends, tools, and techniques in data science, machine learning, and AI.

Your experience includes:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 0–2 years of hands‑on experience in data science, machine learning, or related areas (including internships or academic projects).
• Proficiency in programming languages such as Python or R.
• Foundational knowledge of machine learning frameworks and libraries (e.g., scikit‑learn, TensorFlow).
• Foundational understanding of core data science principles, including data analysis, modeling, and insight generation.
• Exposure to working with data to support decision‑making, business outcomes, or innovation initiatives.
• Experience collaborating with more senior team members in an analytical or technical environment.

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

Location: Shugart, Singapore
Travel: None

The Data Scientist works closely with business stakeholders to uncover challenges, refine use cases, and design analytical solutions that drive measurable outcomes. This role spans the entire data science lifecycle—problem framing, data preparation, modelling, evaluation, communication of insights, and enabling adoption through compellingvisualizations and decision‑support tools.

Key Responsibilities

1. Problem Definition & StakeholderEngagement

• Facilitate discussions with business users to understand their pain points, clarify objectives, and convert them into analytically sound data science problem statements.
• Collaborate with stakeholders throughout the project to refine hypotheses, validate findings, and align on priorities.
• Manage expectations and timelines while balancing analytical depth with business needs.

2. Data Preparation & FeatureEngineering

• Conduct data cleaning, preprocessing, and transformation for both structured and unstructured data to ensure high data quality.
• Perform feature engineering to extract meaningful attributes that enhance model performance.
• Identify relevant datasets and integrate multiple data sources to support analytical work.

3. Analytical Modelling &Experimentation

• Explore data using statistical techniques to uncover trends, patterns, and relationships.
• Build machine learning models for prediction, classification, clustering, or other analytical tasks as required by the use case.
• Evaluate model performance and iterate based on stakeholder feedback and performance metrics.

4. Insights Delivery & Communication

• Translate analytical results into actionable recommendations that stakeholders can apply to drive decisions or business improvements.
• Develop clear, compelling narratives that explain insights and model behaviours in an accessible manner.
• Present analysis with well‑designed visuals, dashboards, and interactive tools that support storytelling and data exploration.

5. Visualisation & User‑Facing Tools

• Design dashboards and interactive visualizations to facilitate self‑service analytics and real‑time data monitoring.
• Apply strong visualization principles to ensure insights are intuitive and impactful.
• Build and deploy customised visual interfaces tightly integrated with underlying data systems.

6. Deployment, Monitoring &Continuous Improvement

• Support model deployment into production environments and collaborate with engineering teams to operationalize models.
• Monitor model performance over time and recommend enhancements as required.
• Contribute to agile project workstreams and participate in ceremonies such as stand‑ups, reviews, and retrospectives.

Required Skills & Competencies

Analytical & Technical Skills

• Ability to convert business challenges into analytical questions and identify appropriate data sources.
• Proficiency in writing data preparation and analysis scripts using tools such as Python, R, SQL, pandas, or equivalent.
• Strong foundation in descriptive statistics, probability, data exploration, and hypothesis testing.
• Skilled in building and validating machine learning models, using modern techniques and frameworks.
• Solid understanding of system design concepts, data structures, and algorithms.

Data Visualization & Storytelling

• Strong command of data visualization principles and tools.
• Capable of developing dashboards and interactive visual tools (e.g., using Tableau, Power BI, Plotly, or custom frameworks).
• Ability to communicate analytical insights through structured storytelling tailored for decision‑makers.

Data Engineering Familiarity

• Understanding of data modelling, data access patterns, and data storage structures such as data lakes, data marts, and data warehouses.
• Familiarity with REST APIs, web protocols, and data extraction via web scraping technologies.
• Comfortable working with big data frameworks (e.g., Spark, Hadoop, Kafka) when required for large-scale processing.

Soft Skills

• Strong communication skills, both written and verbal, with the ability to influence non‑technical audiences.
• Effective stakeholder management and experience working in iterative cycles with feedback loops.
• Organized, self-driven, and able to manage multiple priorities in an agile environment.

Experience Requirements

• Proven experience conducting end‑to‑end data science projects—from scoping and data preparation to modelling and deployment.
• Experience collaborating with diverse teams and managing stakeholders across business and technical functions.
• Prior experience in agile project management or participating in agile delivery teams.

Qualifications

• Degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or related fields.
• Experience with production‑grade machine learning workflows is an advantage.

Please send your details in MS Word format to john@oaktree.com.sg:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data.

• Design and develop data products to support business decision making.
• Solve complex problems using analytical, statistical and machine learning approaches.
• Optimize data architectures such as data lakes, warehouses, and streaming systems to improve performance, scalability and platform stability.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Develop automated processes and frameworks to address recurring business questions.
• Ensure data governance, security and best practices are followed.

Requirements:

• Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field.
• 2+ years of working experience in data engineering or a related role; Fresh graduates with relevant internship experiences are encouraged to apply.
• Strong proficiency in programming languages such as Java, Python and SQL.
• Hands-on experience in real-time data processing tools and streaming technologies (Spark, Flink, Kafka etc).
• Strong analytical and problem-solving skills.

Preferred:

• Basic understanding of machine learning concepts (e.g., classification, regression, clustering, neural networks etc).
• Familiarity with SQL and NoSQL databases.
• Experience building data products using cloud platforms and data warehousing solutions such as AWS and AliCloud.

The Data Engineer is responsible fordesigning, building, and maintaining data infrastructure that supportsanalytics, applications, and enterprise reporting needs. This includesconstructing scalable pipelines, managing data flows across systems, andenabling reliable storage, integration, and retrieval of information acrosscloud and on‑premise environments. The role involves close collaboration withcross‑functional teams to deliver data‑driven solutions that are robust, secure,and high-performing.

Key Responsibilities

1. Data Architecture & Development

• Design, create, and deploy data models, tables, views, and data marts across data warehouses, operational data stores, data lakes, and data virtualization environments.
• Build backend APIs and database structures to support applications and data products.

2. Data Extraction & Transformation

• Perform data extraction, cleansing, transformation, and blending across multiple sources.
• Conduct web scraping activities when needed, using appropriate automation tools.
• Ensure data reliability, accuracy, and consistency through well-structured data processing workflows.

3. Data Pipelines & Processing

• Develop and maintain large-scale batch and real-time data pipelines using modern data engineering frameworks.
• Implement ETL/ELT processes leveraging tools such as SSIS, AWS Glue, AWS DMS, Python, Lambda, ECS tasks, EventBridge, Spring, or similar technologies.
• Integrate data from distributed systems and eliminate data silos through scalable and secure data flows.

4. Collaboration & Product Delivery

• Partner with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver end-to-end data-driven solutions.
• Participate in Agile ceremonies and contribute to continuous integration and delivery practices.
• Engage in pair programming and participate in code reviews to ensure coding standards and quality.

5. Infrastructure, Cloud & Big Data

• Work with cloud platforms such as AWS, Azure, or Google Cloud to build and operate cloud-native data solutions.
• Design and manage data pipelines in big data environments using tools like Spark, Hadoop, Kafka, RabbitMQ, or similar technologies.
• Ensure systems are resilient, scalable, and suitable for production workloads.

6. Data Governance & Security

• Apply data governance principles, ensuring compliant access, secure storage, and proper data handling practices.
• Implement security best practices for data assets and support policy enforcement across systems.

Required Technical Skills

Data Processing & Programming

• Proficient in data cleaning and transformation using SQL, Python (pandas), R, or equivalent tools.
• Strong skills in ETL/ELT pipeline development and workflow orchestration.

Databases & Storage

• Hands-on experience designing and operating relational and non-relational databases such as SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra, Athena, SQLite, VoltDB, or S3-based storage.
• Familiarity with data warehouse, data lake, data mart, and data virtualization concepts.

System Design & APIs

• Solid understanding of system design, data structures, algorithms, and backend development.
• Comfortable working with REST APIs, HTTP protocols, and integrating various data sources.

Big Data & Distributed Systems

• Knowledge of distributed systems and tools (Hadoop, Spark, Kafka, etc.).
• Ability to implement streaming, micro‑batch, or batch processing pipelines.

Web Scraping & Automation

• Experience with web scraping technologies like BeautifulSoup, Selenium, CasperJS, PhantomJS, Node.js, or similar tools.

Security & Data Governance

• Familiar with access control, encryption, audit logging, and other data security practices.

Tools & Environment

• Comfortable working in both Windows and Linux environments.
• Experience using CI/CD pipelines and participating in DevOps-oriented workflows.

Soft Skills & Attributes

• Detail‑oriented with a strong focus on problem solving and analytical thinking.
• Good communication skills, capable of discussing technical topics with both technical and non‑technical stakeholders.
• Collaborative mindset and ability to work as a bridge between engineering and analytics teams.
• Self‑motivated, adaptable, and comfortable managing work in a fast-paced Agile environment.

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

We are looking for an ambitious Marketing Executive to help us increase our clients‘ Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career. Our candidates receive 1-on-1 coaching/mentorship, continuous training and career guidance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career advancement/growth.

Responsibilities

Participate and ensure the successful execution of our events marketing campaigns

Promote our products or services to existing and potential customers

Work with the rest of the Marketing team to develop promotion strategies and oversee their implementation

Requirements

Background in Sales, Marketing, or similar roles is a plus

Open minded and willingness to learn

Good communication and presentation skills is a plus

Candidates with no prior experience are welcome to apply

Job Type: Full-time

Benefits:

Professional development

Work Location: In person

This entry-level role offers exposure to live events, client campaigns, and team-based marketing execution.

You’ll gain practical skills, performance-based rewards, and clear development pathways in a fast-paced environment.

Ideal for: Individuals starting their career and eager to grow through experience.

What We’re Looking For

We are looking for an ambitious Marketing Executive to help us increase our clients‘ Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career. Our employees receive 1-on-1 coaching/mentorship, continuous training and assistance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career progression/growth.

Responsibilities

- Participate and ensure the successful execution of our events marketing campaigns

- Promote our products or services to existing and potential customers

- Work with the rest of the Marketing team to develop promotion strategies and oversee their implementation

Requirements

- Background in Sales, Marketing, or similar roles is a plus

- Open minded and willingness to learn

- Good communication and presentation skills is a plus

Accelerate Your Career in Business Development & Marketing

Join Royal Organisation – a rapidly growing firm representing leading brands and delivering measurable results across diverse markets.

Position Overview

We are seeking motivated and driven individuals to join our Business Development & Marketing team. In this role, you will represent well-established brands, engage with clients directly, and play a key part in executing impactful campaigns and initiatives.

Key Responsibilities

• Identify and engage new clients while managing their end-to-end journey
• Build and maintain strong relationships through direct, face-to-face engagement
• Support the planning and execution of marketing campaigns and events
• Provide leadership and guidance to team members to achieve collective goals

What We Offer

• Regional and international exposure through various projects
• Structured mentorship and clear career advancement pathways
• Recognition and rewards based on performance
• Opportunities for leadership and personal development

Ideal Candidate Profile

• Self-driven, professional, and goal-oriented
• Excellent interpersonal and communication skills
• Passionate about working with people and building meaningful connections

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Accelerate Your Career in Business Development & Marketing

Join Royal Organisation – a rapidly growing firm representing leading brands and delivering measurable results across diverse markets.

Position Overview

We are seeking motivated and driven individuals to join our Business Development & Marketing team. In this role, you will represent well-established brands, engage with clients directly, and play a key part in executing impactful campaigns and initiatives.

Key Responsibilities

• Identify and engage new clients while managing their end-to-end journey
• Build and maintain strong relationships through direct, face-to-face engagement
• Support the planning and execution of marketing campaigns and events
• Provide leadership and guidance to team members to achieve collective goals

What We Offer

• Regional and international exposure through various projects
• Structured mentorship and clear career advancement pathways
• Recognition and rewards based on performance
• Opportunities for leadership and personal development

Ideal Candidate Profile

• Self-driven, professional, and goal-oriented
• Excellent interpersonal and communication skills
• Passionate about working with people and building meaningful connections