Top Data Science Jobs in Singapore
The Data Scientist will be responsible for identifying new data sets, building processes and tools to clean and analyze data, and researching potential alpha signals for presentation to Portfolio Managers. They will also monitor and enhance the data collection infrastructure and explore new technologies for improved data management. This role requires a Ph.D. in a quantitative discipline, at least 1 year of experience as a Data Scientist or in a similar role, and proficiency in SQL, Python, and at least one of C#, C++, or Java.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
As a Senior Data Scientist at Artefact in Singapore, you will lead ambitious data transformation projects for clients, collaborate with other divisions, build relationships with clients, and ensure project delivery and value creation. You will also contribute to technical advancements, share best practices, and embody Artefact's values.
Join an inclusive team passionate about using their expertise in data science to build next-generation data systems, enforce operational data quality, design and develop data analytics, and create modern visualization solutions and web applications. Requires a Bachelor's/Master's degree in computer science or information technology and at least 3 years of working experience in web and software development, business intelligence solutions, relational databases, SQL, Agile development, and REST API. Strong problem-solving and communication skills are essential.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Join Funding Societies | Modalku as a Data Scientist to develop machine learning models, analyze data trends, and improve model infrastructure for credit scoring and risk assessment in the fintech industry. Collaborate with a dynamic team and contribute to impactful projects shaping the business.
As a Senior Data Scientist - Growth Analytics at Moloco, you will provide data products and growth insights to help customers improve campaign performance and maximize business goals. Responsibilities include data analysis, data validation, campaign optimization, and business collaboration. Join Moloco's global team of data scientists and analysts in advancing machine learning models and providing valuable insights to clients.
As a Data Scientist at GlobalFoundries, you will work closely with the Lead Data Scientist to develop and deploy machine learning models for complex operational challenges. You will support in building scalable data products, conducting data analysis, and collaborating with stakeholders. Other responsibilities include promoting analytics value and ensuring safety compliance.
Responsible for data sourcing, data accessibility, identifying patterns and trends, research and development, benchmarking, and performance metrics. Requires 5 years of experience in data science with 2 years in leadership roles, a Master's degree in relevant disciplines, proficiency in Python programming, and experience in modeling and forecasting.
The Staff, Data Scientist at People.AI is responsible for identifying data sources, developing data strategies, assessing and validating models, visualizing data, understanding business context, and solving complex business issues through data-driven insights.
Looking for a Lead Data Scientist to build self-optimizing pricing products that can adjust fares in response to market conditions. Responsibilities include translating business problems into ML models, data retrieval, automating model tuning, collaborating with engineering teams for model deployment, and communicating with stakeholders.
Data Scientist position at Applied Materials Singapore, supporting the Legal Department in driving impactful business decisions through data analysis. Responsibilities include collaborating globally, designing models, developing dashboards, and identifying new opportunities. Qualifications include a bachelor's degree, 2 years of experience, proficiency in data analytics tools, and familiarity with machine learning models and automation solutions.
Work as a Data Scientist in the Grab Geo team, providing critical insights and data-driven hypotheses to solve key product and business problems. Collaborate with various teams within Grab to drive key product decisions and design experiments. Analyze large data sets, identify trends, and recommend new product ideas to enhance customer experience.
As a Senior Data Scientist at Grab in Singapore, you will work on big datasets, develop efficient algorithms, and deploy machine learning solutions to impact business operations and drive innovation in Natural Language Processing (NLP) and Computer Vision.
Senior Data Scientist role at Grab focusing on fraud detection using statistical and machine learning techniques. Analyzing transactional data, developing machine learning models, and deploying fraud detection solutions in production environments.
Seeking a Senior Data Scientist to leverage big data for actionable insights and solutions in supply repositioning and optimization within Grab's marketplace. Responsibilities include collaborating with stakeholders, formulating data science problems, developing solutions, deploying models at scale, and mentoring junior team members.
Seeking a Lead Data Scientist to build advanced machine learning models for personalization, recommendation, prediction, and optimization to enhance the Grab SuperApp experience. Responsibilities include analyzing large volumes of data, designing and deploying machine learning models, performing model evaluation, and communicating results to stakeholders.
Senior Data Scientist role within Grab's Mobility Data Science team. Responsibilities include extracting insights from large datasets, developing machine learning models, and collaborating with cross-functional teams to implement data solutions. Must-have qualifications include a Master's degree and at least 3 years of experience in relevant fields, proficiency in Python and Scala, and strong communication skills.
Senior Data Scientist specializing in Conversational AI at Grab Support. Responsibilities include analyzing unstructured data, developing machine learning models for conversational AI, evaluating models, collaborating with teams, and researching advancements in AI. Must have a Ph.D. or Master's in relevant fields, strong fundamentals in ML and NLP algorithms, familiarity with deep learning frameworks, statistical programming skills, and software development capabilities. Good to have experience with customer support chatbots and multi
Senior Data Scientist role at Grab focusing on providing critical insights and driving GrabFood/GrabMart Consumer Experience forward through data-driven approaches and experimentation. Collaborate with various teams to drive product and business innovation and influence strategic direction of the product. Responsible for product analytics, strategic and business analytics, and providing data-driven insights and recommendations for continuous improvements.
As a Senior Data Scientist at Ubisoft, you will enhance the production of video games through machine learning algorithms. You will collaborate with data analysts and engineers to drive the use of technologies like recommender systems and generative AI.
Seeking a Senior Data Scientist (Analytics) specializing in Search and Personalisation to help product teams make data-driven decisions, conduct controlled experiments, and solve complex problems. Responsibilities include deep diving into data, identifying trends, proposing experimentation strategies, collaborating with cross-functional teams, analyzing experiment results, and developing data pipelines and models.
The Data Scientist at Knorex will be responsible for developing algorithms, implementing machine learning models, communicating with business teams, and evaluating solutions. They must possess strong programming skills, a deep understanding of machine learning techniques, and experience with deploying large-scale systems in the cloud environment.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
As a Data Scientist at GoTo Financial, specialize in deep learning for computer vision, voice, and text processing. Lead development and deployment of AI models impacting key business products. Enhance systems with deep learning models and ensure scalability in production. Drive innovation and solve critical business challenges.
Top Singapore Companies Hiring Data Scientists
See All
All Filters
No Results
No Results
