1,249 Data Scientist jobs in Singapore

Overview

We’re seeking a Product Data Scientist with strong technical skills and a true ownership mindset. The ideal candidate won’t just execute assigned tasks but will proactively identify opportunities to improve processes and product performance. You’ll work closely with Product Managers and cross-functional teams (design, engineering, marketing, research) to translate complex data into actionable insights that shape product strategy and growth.

The team is based in Germany, so you’ll need at least 6 hours of overlap with it.

• Partner with Product Managers and cross-functional stakeholders to deliver data-driven insights that inform product direction.
• Design and execute experiments (A/B testing, experimentation frameworks) to measure impact and support decision-making.
• Develop clear product recommendations from complex data analyses.
• Build and maintain metrics, dashboards, and reports to monitor product health, growth, and performance.
• Help strengthen data infrastructure and experimentation workflows.

• Strong foundation in Data Science with hands-on experience in research, experimentation, and product improvements .
• Expertise in statistics, A/B testing, and experiment design , with a proven ability to drive actionable recommendations.
• Product-focused background — comfortable collaborating with PMs and translating insights for both technical and non-technical teams.
• Proficiency in Python and SQL for data manipulation, modeling, and reporting.
• Excellent communication skills and a proactive, ownership-driven mindset.

• Experience with Snowflake, Superset, Eppo, or Airflow .
• Background in SEO, acquisition, conversion optimization, or growth analytics .
• Experience in consumer tech or other high-growth product environments .

• Analyze and interpret complex datasets to extract meaningful insights and drive data-informed decisions.
• Design and implement advanced models, extending beyond standard library tools when necessary.
• Collaborate closely with stakeholders to gather requirements, identify opportunities, and propose data-driven solutions.
• Build robust data pipelines, conduct analyses, and develop modeling workflows primarily using Python (R experience is a plus).
• Present insights and findings in a clear and compelling manner to both technical and non-technical audiences.

• 3 years of hands-on experience in data science, applied analytics, or a related field.
• Strong skills in modeling and problem-solving, with a comfort level in exploratory and non-structured analysis.
• Proficient in Python and its data science stack (e.g., pandas, NumPy, scikit-learn); experience with R is an advantage for certain roles.
• Demonstrated analytical thinking and the ability to tackle open-ended or ambiguous problem statements.
• Preferred qualifications include a Master’s degree, research experience, or familiarity with health-related datasets.

The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA.

Overview

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Summary

The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

Location : This position is based in Singapore.

We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.

• Seniority level: Associate
• Employment type: Full-time
• Job function: Analyst

We are seeking a highly skilled Data Scientist to join our team and drive impactful data-driven solutions. The successful candidate will play a critical role in translating business challenges into data science projects, developing advanced AI models, and collaborating with cross-functional stakeholders to bring innovative products to life.

• Facilitate discussions with stakeholders to understand business challenges, sharpen use cases, and translate them into data science projects.
• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle (concept, design, prototyping, testing, curation, delivery, operationalisation, industry adoption, and end-of-life).
• Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry.
• Present findings, solicit feedback, and prioritise refinements while managing overall project timelines.
• Participate in agile secure software development processes, including documentation of user requirements and software codes.
• Transfer technology and knowledge to industry partners.
• Engage and collaborate with research institutes and institutes of higher learning.

• Postgraduate (Masters/PhD) background in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent.
• Strong technical knowledge in AI, particularly in Computer Vision (CV), Natural Language Processing (NLP), Recommendation Systems, and/or Synthetic AI .
• Good understanding of the latest AI research and technologies for production, including deployment to mobile handsets and IoT devices.
• Proficient in building machine learning models to identify, recognise patterns, and make predictions.
• Strong programming skills in Python, C++ .
• Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in model deployment.
• Proven stakeholder management skills.
• Experience in agile project management .

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Helios (Biopolis)

The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• Good coding skills
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

This position is based in Singapore.

We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.

We’re partnering with a technology solutions provider to hire a Data Scientist for a long-term government project in Singapore. This role sits at the intersection of data science, analytics, and data infrastructure.

1. Data Analysis & Insights
   • Perform statistical analysis and predictive modelling using AWS Redshift datasets
   • Develop machine learning models and generate actionable insights from large datasets
   • Conduct data validation and quality assessments to ensure accuracy and reliability
2. Dashboard & Visualization
   • Design and maintain interactive dashboards in AWS QuickSight
   • Create data visualizations to support business decision-making and trend analysis
   • Optimize dashboards for performance, usability, and data accuracy
   • Monitor and troubleshoot AWS Glue jobs and data ingestion pipelines
   • Support CI/CD pipelines (GitLab preferred) for data workflows and deployment
   • Work with AWS Lambda and Infrastructure as Code (IaC) frameworks for data infrastructure automation
3. Data Operations & Governance
   • Proactively monitor pipelines for data quality issues and anomalies
   • Collaborate with technical teams to define data requirements and governance standards
   • Assist in validating and testing data models for accuracy and performance
4. Documentation & Reporting
   • Document analytical methodologies, findings, and best practices
   • Prepare regular reports on insights and model performance
   • Maintain documentation and task tracking on Confluence and Jira

• Proven experience in data science, statistics, or machine learning
• Strong hands-on skills in Python, R, and SQL
• Solid exposure to AWS data services – Redshift, QuickSight, S3, Glue, Lambda
• Experience with data pipeline development and troubleshooting
• Familiarity with CI/CD (GitLab) and IaC concepts
• Excellent analytical, problem-solving, and communication skills
• Experience working in a structured or government project environment will be an advantage

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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Position Summary

This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the organization.
• Promote data literacy across the BU.

• Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
• Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
• Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
• Agile/DAMA/Azure certification is a plus
• Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
• Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Strong communications skills.

About the Company

Join UST’s award-winning Data Science team, a high-impact group known for delivering strategic insights and innovative solutions to our clients.

As a Data Scientist, you will lead engagements with top-tier external clients and internal stakeholders, translating complex business needs into data-driven strategies and products that deliver measurable value.

You’ll apply state-of-the-art analytical methodologies, including predictive modeling, recommendation systems, and statistical analysis to large, diverse datasets. Your deliverables will range from executive presentations and interactive dashboards to the development of scalable, production-grade prototypes. We’re looking for someone with a rare blend of advanced technical capabilities, creative problem-solving skills, and strong business acumen. If you’re passionate about using data to drive real-world impact and love working in a collaborative, agile environment, we want to hear from you.

• Serve as the primary point of contact for high-profile clients, understanding their complex business objectives and data landscape. Act as a trusted advisor to recommend sophisticated, data-driven solutions that align with their long-term strategic goals.
• Lead the delivery of both ad-hoc analysis requests and proactive, high-value research initiatives, presenting findings through executive-level documents, interactive dashboards, and compelling presentations.
• Design and implement advanced statistical and machine learning techniques to analyze large-scale datasets and derive actionable insights. Develop state-of-the-art predictive models, optimization algorithms, and data visualizations to solve complex business problems.
• Architect end-to-end data science solutions tailored to the specific needs of each client. Lead cross-functional teams to seamlessly integrate analytical models into client systems and processes.
• Drive knowledge sharing initiatives across wider functions, developing best practices for transforming raw data into valuable analytical assets and creating reusable, scalable analytical and visualization methods.

• MSc/PhD in Mathematics, Statistics, Data Science, Computer Science, or related field, or equivalent extensive work experience.
• Substantial experience (4+ years) as a Data Scientist or in a similar role, with a proven track record in consulting or client-facing environments.
• Demonstrated expertise in creating actionable insights that drive business value, with the ability to communicate complex findings to C-level executives and non-technical stakeholders.
• Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities.
• In-depth knowledge and hands-on experience in deploying ML models and advanced analytics in cloud production environments. Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable.
• Proven ability to lead and mentor teams, with excellent project management and stakeholder management skills.
• Track record of thought leadership, such as conference presentations, published papers, or patents in the field of data science or machine learning.

Machine Learning, Statistical Analysis, Data Visualization, Expert-level programming (Python), Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities.

Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable.

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the center of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships.

UST is an Equal Opportunity Employer.

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

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

Overview

Data Scientist (Lead) - Remote

This is a full-time remote role for a Data Scientist. You will be responsible for driving analytical insights and data-driven decision-making, building and managing a high-performing data science team, developing analytics strategies and frameworks, and delivering actionable intelligence to institutional clients. The Data Science Lead will work closely with product, engineering, and leadership teams to identify analytical opportunities, establish best practices for data science workflows, and scale our analytics capabilities in the blockchain intelligence space.

• Build and lead our data science organization, establishing methodologies, frameworks, and best practices for institutional-grade analytics and insights
• Own the full analytics lifecycle from problem formulation to deployment, working with institutional investors, funds, and blockchain professionals to deliver data-driven solutions
• Develop and execute analytics strategies for new products and market segments, translating business needs into technical requirements
• Collaborate with product and engineering teams to refine data pipelines, feature development, and model deployment strategies
• Drive measurable impact through predictive models, statistical analysis, and machine learning solutions while maintaining the rigor and interpretability our institutional clients expect

• Proven track record in applied data science, preferably delivering analytics solutions to institutional clients or enterprise customers
• Experience building and scaling data science teams and establishing ML/analytics processes from early stages
• Strong understanding of statistical methods, machine learning techniques, experimentation frameworks, and model evaluation metrics
• Excellent communication skills with ability to translate complex technical concepts for C-level executives and decision-makers
• Strategic thinking with the ability to identify high-impact analytical opportunities and deliver end-to-end solutions
• Self-motivated and able to thrive in a remote, fast-paced environment
• Experience in blockchain analytics, fintech data science, or SaaS analytics platforms is a plus
• Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, Econometrics or related quantitative field preferred

• High-Impact Work: Your designs will be used by leading institutional investors and the world’s most influential blockchain protocols
• Innovation at the Frontier: Work at the intersection of institutional finance and cutting-edge blockchain technology
• Remote-First Culture: Work from anywhere with flexible hours and a globally distributed team
• Growth Opportunity: Shape design culture and build a world-class design team as we scale
• Competitive Compensation: Industry-leading salary, equity, and benefits package

Fully remote. While we’re headquartered in Singapore, we welcome talented data scientists from around the world. Team collaboration occurs across time zones with overlapping core hours.