889 Data Scientist Roles jobs in Singapore

• Design and develop data platform architecture, ensuring the stability and high availability of data platform services.
• Design, develop, and continuously optimize functionalities of big data components such as offline/real-time data processing, data governance, self-service analytics reports, and OLAP query engines.
• Explore the data agent system for large models, building Agents with natural language understanding and data operation capabilities to enhance the intelligence of data analysis, processing, and pipeline construction.
• Establish a full lifecycle management system for training data, covering metadata, lineage, quality assessment, and automated evaluation, ensuring controllable and high-quality data for large model training.

Job Requirements

• Over 5 years of experience in big data platform-related work, with a bachelor's degree or above in computer science, software engineering, artificial intelligence, mathematics, or related fields.
• Proficient in mainstream frameworks such as Spring Boot and MyBatis, with good web development skills (Vue); experience in enterprise-level big data system software integration and development is preferred.
• Familiar with the features and application scenarios of components such as Hadoop, Spark, Flink, Kafka, Paimon, ClickHouse, Doris, and able to solve problems encountered during use.
• Experience in building large-model data systems, multi-modal data processing systems, and interest in LLM Agents, AutoML, and intelligent data processing workflows, with the ability to explore and implement solutions preferred.
• Familiar with large model applications and related technologies such as RAG, MCP, Agent, etc.
• Highly responsible, quick learner, good communicator, thoughtful, with strong teamwork skills; team management experience is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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**Job Title:** Data Mining and Application Security Expert

We are seeking a highly skilled Data Mining and Application Security Expert to join our team. This role involves leveraging various data sources to gain insights and improve decision-making processes.

Responsibilities:

Qualifications:

Preferred Qualifications:

TikTok is dedicated to creating value for our communities, inspiring creativity and bringing joy through innovative products. As a Data Mining and Application Security Expert, you will play a critical role in driving this mission forward.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

Responsibilities

This is a group of experts who keep the infrastructure safe and operating the core resource of data center,collect and combine data from different sources and formats.They use various ways to process,analyze,and present the data in a meaningful and useful way. They also provide insights and solutions based on the data to support the organization or its customers. They help to improve the decision-making and performance of the organization. This group is a very important part of the organization’s data dig out.

- Aggregate public domain data on the Internet to meet various business data needs.

- Responsible for the architecture and development of distributed data/content aggregation system, perform full stack optimisation for data crawling, scheduling, analysis and storage.

- Overcome various data crawling technical challenges, continuously improve the quality and performance of very large scale data aggregation systems.

- Lead data mining team - drive continuous technical innovations and develop high performing R&D team to meet key business objectives.

Qualifications

Minimum Qualifications:

- A bachelor’s degree in computer science, engineering, or a related field. Excellent communication and teamwork skills.

- Past experience in one or more programming languages such as Go, Python and Shell script.

- Self-driven and capable of coping with ambiguity and moving projects from concept to delivery. Strong in analytical skills and the ability to solve real world problems in a fast moving environment.

Prefered Qualifications:

- Experience with Android/iOS from kernel to shell and beyond with experience working with system libraries, file systems, and client-server protocols.

- Configuring and maintaining network devices such as routers, switches, firewalls, and proxies. Troubleshooting and resolving network issues and performance problems.

We are looking for a Machine Learning/Data Scientist to drive our healthcare spatial optimization initiative . You will analyze RTLS data (patients, staff, equipment) to improve hospital floor space utilization, patient flow, and operational efficiency .

• Develop ML models for spatial analysis, flow prediction, and resource optimization.
• Build clustering, forecasting, and reinforcement learning algorithms for continuous improvements.
• Create geospatial dashboards, heatmaps, and reports for clinical and executive stakeholders.
• Partner with healthcare teams to implement data-driven layout and process improvements.
• Ensure compliance with healthcare data governance (HIPAA/GDPR).

• Master’s in Data Science/CS/Stats/OR or related field.
• 5–7 years ML/Data Science experience with IoT/location-based data.
• Strong in Python/R, ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with spatial analytics (GeoPandas, PostGIS, QGIS/ArcGIS).
• Healthcare domain knowledge preferred.

EA Number: 11C4879

Position Summary
We are looking for a Machine Learning / Data Scientist to lead a healthcare spatial optimization project. You will work with Real-Time Location System (RTLS) data to improve hospital floor space utilization, patient flow, and operational efficiency. This role applies spatial analytics and machine learning to healthcare challenges and contributes to better patient care.

Key Responsibilities

• Analyze RTLS data (patient, staff, equipment movement) to extract patterns and insights.
• Develop and deploy machine learning models for spatial recognition, flow prediction, and anomaly detection.
• Apply clustering algorithms to identify utilization patterns and bottlenecks.
• Build predictive models to forecast demand and optimize resource allocation.
• Perform exploratory data analysis (EDA) on spatial data.
• Design optimization algorithms for hospital layouts and space reallocation.
• Build recommendation engines for dynamic space assignments.
• Develop time-series forecasting models for peak usage prediction.
• Implement reinforcement learning for continuous optimization.
• Build dashboards and geospatial visualizations (heat maps, flow diagrams, reports).
• Use Tableau, Power BI, or web applications to present insights.
• Translate results into actionable recommendations for stakeholders.
• Collaborate with healthcare professionals, architects, and operations teams.
• Support implementation of spatial recommendations and assess ROI.
• Ensure compliance with data privacy regulations (HIPAA, GDPR).
• Apply data anonymization and validation protocols.
• Document methodologies and maintain reproducible workflows.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, Operations Research, or related field.
• 5–7 years of experience in data science or machine learning roles.
• Experience with location-based or IoT sensor data (RTLS preferred).
• Prior exposure to healthcare datasets.

Technical Skills

• Programming: Python or R.
• ML frameworks: scikit-learn, TensorFlow, PyTorch.
• Spatial analytics: GeoPandas, PostGIS, ArcGIS, QGIS.
• Databases: SQL, PostgreSQL/PostGIS, MongoDB with geospatial features.
• Visualization: matplotlib, seaborn, plotly, Tableau, Power BI.
• Strong knowledge of statistics and experimental design.

Domain Knowledge

• Understanding of hospital operations and workflows.
• Familiarity with RTLS technologies (RFID, BLE, WiFi, UWB).
• Knowledge of facility layout and spatial optimization.
• Experience with time-series forecasting.

EA License: R

Company EA License: 11C4879

Join to apply for the Machine Learning Engineer role at Unravel Carbon .

At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our Sustainability AI agents platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We're backed by top-tier investors like Sequoia and Y Combinator, and we're growing fast.

• Build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
• Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
• Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
• Continuously improve our multi-ML model (semantic search and text classification) carbon engine that calculates carbon emissions, using millions of lines of transactional data and our proprietary data set of carbon emission factors.
• Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models (transformer-based models like ModernBERT, T5) and LLM-based systems in production.
• Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
• Lead our efforts to build AI-powered systems that leverage our various data sets to automatically identify and recommend decarbonization solutions for our customers.

• You have 1-3 years of experience in Machine Learning, Generative AI or are an upcoming new graduate with extensive relevant internships.
• You have strong experience in Python, SQL and are comfortable with modern ML frameworks like transformers, LangChain, or similar libraries.
• You are familiar with LLMs, prompt engineering, and have worked with LLM APIs or built RAG systems.
• You have shipped NLP/ML solutions to production and can demonstrate the impact of your work.
• You are able to own the entire lifecycle of a Machine Learning project. You don't need to be an expert on every aspect of it, but you must be a quick learner to pick things up and go deep when needed.
• You have an understanding of system design and can build scalable ML services.
• You like to think through product problems and enjoy working cross-functionally.
• You use solid engineering practices, write maintainable code, and care about code quality.
• You are proficient with AI-based coding tools and use them effectively in your workflow.
• You thrive in a fast-paced environment and can adapt quickly to changing priorities.
• You enjoy mentoring others where you can.

• You have experience with LLM evaluation, guardrails, or agent frameworks.
• You have worked with vector databases and embedding systems.
• You have domain knowledge in sustainability, carbon accounting, or climate tech.
• You have a Master or PhD degree in Computer Science, Applied Computing, Computational Linguistics, Machine Learning or a related field.

• Opportunity to shape product direction and team culture at a fast-growing climate tech startup backed by top-tier investors.
• Work directly with founders and senior leadership on products that have material impact on fighting climate change.
• Gain deep expertise in applying cutting-edge AI techniques to solve critical sustainability challenges.
• Experience building production AI systems at scale while contributing to the world's transition to a zero-carbon economy.

• Entry level

• Full-time

• Engineering and Information Technology

• Climate Data and Analytics

About Unravel Carbon

At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our Sustainability AI agents platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We're backed by top-tier investors like Sequoia and Y Combinator, and we're growing fast.

Our culture is built on a foundation of intellectual honesty, extreme ownership, and a relentless focus on results. We're a fun, collaborative, and purpose-driven team that isn't afraid to tackle the world's biggest challenges. If you're ready to do the best work of your life and make a real impact, we want to hear from you.

About The Role

We are looking for an early-career ML Engineer with a focus on Generative AI to join our early, growing team. It is a great opportunity to join a company that can have a material impact on fighting climate change.

As the Machine Learning team, we strive to design and build AI products and systems that are reliable, scalable, and maintainable. Some of the traits that we promote within the team are ownership, curiosity, transparency, and a strong writing culture. As an early team member, you will be expected to help shape our product direction and to strengthen the team's culture. You will collaborate closely with product managers, software engineers, designers, data engineers, and sustainability experts to ship products that create value and solve problems for our customers.

What You Will Work On

• Build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
• Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
• Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
• Continuously improve our multi-ML model (semantic search and text classification) carbon engine that calculates carbon emissions, using millions of lines of transactional data and our proprietary data set of carbon emission factors.
• Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models (transformer-based models like ModernBERT, T5) and LLM-based systems in production.
• Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
• Lead our efforts to build AI-powered systems that leverage our various data sets to automatically identify and recommend decarbonization solutions for our customers.

About You

• You have 1-3 years of experience in Machine Learning, Generative AI or are an upcoming new graduate with extensive relevant internships.
• You have strong experience in Python, SQL and are comfortable with modern ML frameworks like transformers, LangChain, or similar libraries.
• You are familiar with LLMs, prompt engineering, and have worked with LLM APIs or built RAG systems.
• You have shipped NLP/ML solutions to production and can demonstrate the impact of your work.
• You are able to own the entire lifecycle of a Machine Learning project. You don't need to be an expert on every aspect of it, but you must be a quick learner to pick things up and go deep when needed.
• You have an understanding of system design and can build scalable ML services.
• You like to think through product problems and enjoy working cross-functionally.
• You use solid engineering practices, write maintainable code, and care about code quality.
• You are proficient with AI-based coding tools and use them effectively in your workflow.
• You thrive in a fast-paced environment and can adapt quickly to changing priorities.
• You enjoy mentoring others where you can.

BONUS POINTS IF

• You have experience with LLM evaluation, guardrails, or agent frameworks.
• You have worked with vector databases and embedding systems.
• You have domain knowledge in sustainability, carbon accounting, or climate tech.
• You have a Master or PhD degree in Computer Science, Applied Computing, Computational Linguistics, Machine Learning or a related field.

What You’ll Gain

• Opportunity to shape product direction and team culture at a fast-growing climate tech startup backed by top-tier investors.
• Work directly with founders and senior leadership on products that have material impact on fighting climate change.
• Gain deep expertise in applying cutting-edge AI techniques to solve critical sustainability challenges.
• Experience building production AI systems at scale while contributing to the world's transition to a zero-carbon economy.

Machine Learning Engineer page is loadedMachine Learning Engineer Apply remote type Hybrid locations Singapore, Singapore time type Full time posted on Posted 8 Days Ago job requisition id JR

Viridien ( ) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

We’re seeking a versatile Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.

About the Team

You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.

Key Responsibilities

• LLM/NLP Model Development

  • Deploy and fine tune LLMs models for domain-specific tasks.

  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.

• Data Infrastructure

  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.

  • Ensure robust, reproducible data loops to power iterative development.

• AI Workflow Design & Orchestration

  • Orchestrate multiple models to deliver SOTA results.

  • Partner with Production team, Software Engineers to bring AI solutions into real-world products.

Qualifications:

Required:

• Degree, Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

• Passion and aptitude for programming and technology

• Enthusiasm for analytical and problem-solving challenges

• Strong enterprise project experience with Machine Learning and AI

• Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python

• Good experience with Large Language Model technologies

• Experience within Data Engineering/Data Structuring

• Experience creating Machine Learning Algorithms and/or Libraries.

• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)

• Ability to define and manage project deadlines and balance workloads across a wide variety of projects.

• Effective communication skills to keep all stakeholders regularly informed on progress.

• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Benefits:

• 13-months Annual Base Salary and performance bonus

• Flexible Hybrid Work Model

• Comprehensive Personal and Family Healthcare

• Onsite Wellness & Recreation Corner

• Fun Employee Engagement & Sustainable Activities

• Family Leave for employees

#LI-JC

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.