1,084 Data Scientist jobs in Singapore

Overview

The Opportunity: We are seeking a talented individual to join our innovative Data Science team, a center of excellence within our Corporate Strategic and Operations division. This is an excellent opportunity to learn from experienced professionals and contribute to impactful projects that support senior management and diverse publications across our core media business.

About the Team

You will be an integral part of a collaborative cross-functional team, working alongside fellow Data Scientists, Data Analysts, Data Engineers, and Software Engineers. Our team is dedicated to developing sophisticated data products that enhance operational intelligence and solve real-world business challenges. We thrive on exploring new technologies and innovating solutions that push the boundaries of data and AI.

Responsibilities

• Assist with ML Solutions: Collaborating on the development and maintenance of machine learning models, with a focus on continually improving our recommendation systems to enhance consumer experience and engagement.
• Learning and Innovating with AI: Assisting in the implementation of automation solutions, particularly incorporating advanced AI/ML models (including LLMs and Generative AI) into our corporate AI portal.
• Strategic Collaboration: Collaborating with MLOps engineers and the broader team to deploy and maintain models in production, and ensuring efficient feature management and data pipelines.
• Experimentation & Prototyping: Performing small-scale proof-of-concept studies and exploratory experiments to evaluate new data science techniques and technologies, and contributing to the development of early-stage prototypes.

What We're Looking For Essential Qualifications:

• Education : A strong university degree in Statistics, Engineering, Mathematics, Physics, Computer Science, Operations Research, or a closely related quantitative field.
• Professional Experience : Some professional experience as a Data Scientist, with demonstrated knowledge in at least one of the following areas:
• NLP (Natural Language Processing)
• Recommendation Systems (development and deployment)
• User Profiling & Look-alike Models
• Programming Proficiency : Strong proficiency in Python and its associated data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Database Skills : Strong command of SQL for data manipulation and analysis, and familiarity with relational databases.
• Problem Solving & Independence : A strong track record of technical problem-solving and an eagerness to learn and contribute with guidance from the team.
• Analytical Rigor : Comfortable manipulating, analyzing, and deriving insights from complex, disparate data sources.

Highly Desired Skills & Experience (Big Pluses)

• Advanced ML/AI: Exposure to or interest in productionizing Large Language Models (LLMs) and Generative AI solutions.
• Media Industry Experience: Experience working in the media industry, with a keen understanding of digital engagement or user profiling is highly valued.
• NoSQL Databases: Knowledge of NoSQL databases (e.g., MongoDB, OpenSearch, Elasticsearch).
• Cloud & Containers: Experience with cloud platforms (e.g., AWS) and/or containerization technologies (e.g., Docker, Kubernetes).

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As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities.

In this role you will have the following responsibilities:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.
• Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Design and deploy computer vision models for object detection, image segmentation and anomaly detection.
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.
• Strong verbal and written communication skills.

Required Qualifications

• Bachelor or Master degree in Computer Science, Computer Engineering, Business Analytics, Data Science or AI.

Or

• Equivalently, minimum 2 years of practical experience in development of scalable and stable AI applications.

Required Technical Experience

• Strong programming skills in Python
• Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.
• Hands-on experience with computer vision libraries and models (YOLO, OpenCV, etc.).
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Familiarity with front-end and visualization tools like JavaScript, AngularJS 2.0, Python Dash or Streamlit.

Required Soft-skill Experience

• Strong analytical and problem-solving skills with a data-driven mindset.
• Effective communication skills for cross-functional collaboration with engineering, operations, and quality teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Detail-oriented with a commitment to quality and continuous improvement.
• Adaptability and resilience in a dynamic manufacturing setting.

Preferred Experience or Willingness to Learn

• Exposure to computer vision or Large Language Models (LLMs)-related projects
• Experience integrating computer vision solutions into software systems or products
• Exposure to cloud platforms such as Google Cloud Platform (GCP)
• Distributed computing frameworks: PySpark
• Big data technologies: Hadoop, Hive, Spark, HBase
• Working knowledge of Teradata or other SQL-based databases
• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role)

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Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities.

In this role you will have the following responsibilities:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in these areas: statistical modeling, computer vision, deep learning, machine learning, LLM, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Coordinate production deployment activities, including multi-functional communications, approval and execution of changes in live environments.
• Strong verbal and written communication skills.

Required Qualifications:

• Proficiency in machine learning and advanced analytical methods
• Strong programming skills in Python
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar
• Exposure to the semiconductor industry is a plus but not a requirement.
• Ideally with a Master or PhD degree in Computer Science, Mathematics, Statistics, Software Engineering or other quantitative field with more than 1 year of relevant work experience.

Preferred Experience or Willingness to Learn:

• Exposure to cloud platforms such as Google Cloud Platform (GCP)
• Distributed computing frameworks: PySpark, SparkR, or SparklyR
• Big data technologies: Hadoop, Hive, Spark, HBase
• Exposure to computer vision or Large Language Models (LLMs)-related projects

Nice-to-Have Skills

• Experience handling time-series data, semi-supervised learning, or non-stationary data distributions
• Familiarity with Manufacturing Execution Systems (MES)
• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role)

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

Job Description

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Develop and automate reports for analytical purposes
• Collaborate with other Product Development teams to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Support key decision makers to improve products and services

Job Requirements

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• A/B and Multivariate testing management
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentation skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

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Singapore, Singapore | Posted on 02/19/2025

Upskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong front-to-back expertise in cash and derivatives markets, coupled with in-depth knowledge of financial markets technologies, we provide smart, business-wise, and efficient solutions. We are seeking a highly motivated Data Scientist to help discover information hidden in vast amounts of data to make smarter decisions that would assist our banking clients. You will apply data mining techniques, perform statistical analysis, and build high-quality prediction systems integrated with our products. Responsibilities include automating scoring using machine learning techniques, building recommendation systems, and developing internal A/B testing procedures for sales campaigns.

Responsibilities

• Work with Data Scientists and product management to implement data-driven features/products.
• Apply architecture and system design theories and principles, performing complex research, design, and development of new or existing products, tools, and processes required for the operation, maintenance, and testing of products.
• Create data tools for analytics and data science team members to assist in building and optimizing our product into an innovative industry leader.
• Experiment with anomaly detection models.
• Be a key contributor in the engineering of distributed systems, frameworks, and design patterns of Data Science/Machine Learning.
• Use Scala, Java, or Python to utilize Hadoop/Spark for collecting and analyzing large-scale datasets in batch and real-time.
• Build, monitor, and maintain data ETL pipelines.

Requirements

• Master's or Bachelor's Degree in Data Analytics, Machine Learning, Computer Science, or a quantitative discipline.
• Experience in data collection, preprocessing, and analysis of structured and unstructured data.
• Proficient in programming languages such as Python and R.
• Experience with data visualization tools such as Tableau, Qlikview, GGPlot, etc.
• Good applied statistics skills, including distributions, statistical testing, and regression.
• Knowledge of financial products and processes in the capital markets industry is a strong plus.
• Experience with Big Data architecture and tools in the landscape.
• Strong theoretical foundation in statistics and advanced machine learning concepts.
• Experience in the development of NLP-based deep learning models and recommendation models.

Skill Set

Data Scientist, NLP, LLM, Python, Java, SQL, Capital Markets, Treasury, Deep Learning, Anomaly Detection, Murex.

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Overview

Direct message the job poster from SCIENTE

An excellent opportunity for a Data Scientist to work on Generative AI (Gen AI) and Machine Learning (ML) projects, for a reputed organization. This role involves working closely with stakeholders across departments to improve business processes and deliver impactful AI-driven outcomes.

Mandatory Skill-set

• Degree in Information Technology, Computer Science, Engineering, Business or Data Science;
• Must have 3 years of experience in a Data Science role, preferably within AWS cloud environments ;
• Able to translate technical concepts into business use cases and obtain buy-in from stakeholders for the AI/ML use cases;
• Experience in designing for GenAI models, including metrics and human-in-the-loop evaluation;
• Must have exposure in SQL, Python, and Spark, AWS ;
• Must have experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
• Deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
• Hands-on experience implementing MLOps practices on AWS as well as AWS Bedrock;
• Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;

Desired Skill-set

• AWS certifications;
• Prior experience in financial services, telecommunications, or consulting industries.

Responsibilities

• Own AI/ML use cases from ideation to production, including continuous monitoring and enhancement;
• Serve as a Gen AI technical specialist within the Data Science team, designing and implementing models to support advisor sales journeys and operational efficiency;
• Collaborate cross-functionally with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
• Translate business problems into technical requirements through proactive stakeholder engagement;
• Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
• Ensure all AI/ML solutions comply with data privacy laws (e.g., PDPA) and AI governance policies;
• Promote innovation and continuous improvement across AI/ML models and processes.

Should you be interested in this career opportunity, please send your updated resume to at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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Data Scientist page is loaded# Data Scientistlocations: Singaporetime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 12, 2025 (28 days left to apply)job requisition id: V-09855**At Iress, we make things happen**We believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. More than 10,000 businesses and 500,000 people use our software, from the world’s most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia’s largest technology companies and employs more than 1,100 people across Australia, The United Kingdom, Africa, Canada, New Zealand and Asia.**Build your career at Iress!**We are seeking a highly skilled and motivated Data Scientist to join our team at Iress. As a Data Scientist, you will be responsible for transforming complex data sets into actionable insights and providing data-driven solutions to drive business growth and innovation. Your expertise in statistical analysis, data visualisation and AI/ML (artificial intelligence and machine learning) will be used in extracting and communicating knowledge from large and diverse datasets. Specifically, your focus will be to help develop new products within the innovation team to ultimately bring innovative new concepts to market. Join our team and be part of a collaborative environment where you can contribute to the growth and success of Iress while further advancing your career in the exciting field of data science and AI/ML.**Some of the amazing things you’ll be involved in*** Data exploration and preparation - collecting and processing datasets from various sources. Identifying patterns and trends to formulate research questions.* Statistical analysis: Applying statistical techniques and hypothesis testing to derive insights from data. Developing predictive models and classification algorithms to solve business problems.* R+D: experimenting with with AI / Ml model models that serve to offer speed of insight across datasets, make predictions and automate complex tasks* Artificial intelligence and machine learning development: utilising algorithms and ML methodologies to build models for tasks such as classification, clustering, regression, recommendation systems etc.* Creating and extending ML frameworks and libraries to enable future problems to be solved more efficiently.* Collaborating across the business: Collaborating with engineers, product managers and business analysts from the innovations team as well as the business units to ensure data science work is in alignment with the organisational goal.* Keeping abreast of developments in the field: Staying updated with the latest trends, tools, and techniques in data science, machine learning, and artificial intelligence.**What you will bring*** Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.* At least 3-Year’s experience as a data scientist, quantitative analyst or similar role. Experience in the financial services industry is necessary.* Solid understanding of statistical concepts and methodologies, hypothesis testing, and experimental design.* Proficiency in data visualisation tools such as Tableau, quicksight, Power BI, QlikView, Plotly or Microsoft Excel.* Ability to write robust code in Python, R or Java along with experience in data manipulation and analysis using libraries like pandas, NumPy, and SciPy.* Proficiency in utilising Databricks and AWS platforms is highly valued* Knowledge of machine learning techniques - supervised and unsupervised learning, reinforcement learning, neural networks, and deep learning architectures.* Familiarity with machine learning frameworks and libraries - Tensorflow, Keras, PyTorch, or scikit-learn.* 8 additional paid days per year to extend your weekends* Hybrid working* Generous cash bonus for every successful referral* Starting school leave - 8.5 days of leave to assist your children with the transition to school* Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work* 3 days’ paid leave per year to participate in charity initiatives* Discounted health insurance premiums* Access to learning and development programs through LinkedIn LearningIress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs and everyone’s uniqueness is valued and celebrated.Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status and age. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you!We’re also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace.For more information about what we do, our people and values, please visit our website - **Employment Type**Contractor# **Time Type**Full time
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As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit:

Job Responsibilities:

• Utilize quantitative and modeling analysis methods to analyze and optimize game-related products, providing data interpretation and strategic recommendations to support business decision-making and help develop actionable strategies.
• Participate in A/B test design and analysis, user behavior tracking and retention analysis, as well as marketing campaign performance evaluation, offering systematic data capabilities and in-depth analytical insights.
• Continuously explore the application of cutting-edge machine learning algorithms (e.g., recommendation systems, graph neural networks, reinforcement learning, etc.) in gaming scenarios such as recommendation, social features, and matchmaking system optimization.

Qualifications:

• Master's or Ph.D. student in data mining, information retrieval, recommendation systems, or related fields.
• Strong programming skills with proficiency in Python, SQL, and shell scripting; expertise in PyTorch, TensorFlow, and other common neural network frameworks; solid understanding of commonly used machine learning methods.
• Sensitive to core performance metrics, with great communication and teamwork skills; high sense of responsibility, and ability to proactively drive project execution.
• Passionate about games and fluency in Chinese as working partners and stakeholders are from China.
• Candidates with publications in top conferences (e.g., ACL, NAACL, EMNLP, AAAI, NeurIPS, KDD, IJCAI, SIGIR) or with relevant competition experience are preferred.

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Location: Remote

Responsibilities

• Collect, process, and analyze data to deliver insights and business growth in the Web3 data economy
• Develop predictive models, algorithms, and visualization based on complex network activities
• Analyze and validate designs and mechanisms of different network economic systems
• Produce research reports based on insights from network data analytics and drive reader engagement
• On-demand analysis of topics related to micro incentive structures or behaviors and macro trend and dynamics

Requirements

• At least 2 years of work experience as a data scientist or data analyst
• Experience working on real-world datasets to drive business value
• Possess excellent writing skills to produce engaging content
• Enjoy working in collaborative and fast-paced environment
• B.S. or M.S. degree in Applied Math, Statistics, Data Science, Computer Science, Engineering or technical field

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