Top Data Jobs in Singapore
Experienced Python and AWS Software Engineer III at JPMorgan Chase, responsible for developing business logic, data transformations, and secure technology products for the Macro Data Analytics team. Takes ownership of software delivery lifecycle and contributes to continuous improvement of software applications and systems.
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 Managing Principal at Capco will play a key role in delivering data projects, formulating data strategies, and driving data-driven cultures for financial services and insurance clients in APAC. Responsibilities include defining data strategies, assessing client data capabilities, identifying pain points, and designing target operating models for data management.
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.
Responsible for collecting, designing, storing, and processing payments data in eCommerce business. Leading role in constructing business evaluation metrics, developing data services tactics, and creating data-driven tools. Defining business data requirements and building models to enhance data quality and stability.
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.
Lead the technology support team in Corporate Data and Analytics Services, ensuring operational stability, availability, and performance of production services. Provide technical and functional support to end users, investigate and troubleshoot issues, utilize data analytics for issue trends, manage projects, and drive application onboarding.
Develop metrics and simulation models, conduct data analysis, design data collection processes, collaborate with data engineering team.
Featured Jobs
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.
Build and optimize 'big data' data pipelines, perform root cause analysis, support data modeling, manipulate large datasets, work with message queuing and stream processing, and perform CI/CD activities.
Serve as a leader and mentor for a global team of data analysts, act as a subject matter expert in real estate portfolio planning, solve critical data problems, identify opportunities for data-driven strategies, conduct exploratory meetings to enhance portfolio planning, translate business requirements into technical specifications, produce visualizations for stakeholder engagement, and evaluate team performances.
Facilitates implementation of enhancements to business analytics solutions, performs data mining with large datasets, validates data quality and transformation, ensures data integrity, analyzes trends in complex datasets, collaborates with various teams, and provides impact analysis of operational policies. Requires Bachelor's degree and 2+ years of relevant experience in healthcare data analytics or data engineering.
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.
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.
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 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.
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The Coca-Cola Company is seeking a Data Engineer to lead the design and engineering of data solutions, develop ETL pipelines, work with various programming languages and data platforms, and contribute to digital transformation efforts.
Seeking a Data Engineer with expertise in Hadoop, Scala, Spark, Elastic, OpenShift, DevOps, and Elasticsearch. Responsibilities include data transformation, collaboration with teams, designing Spark Scala applications, integrating Elasticsearch with Spark, optimizing Spark jobs, implementing data governance practices, and more. Requires 5+ years of experience, a degree in Computer Science, Quantexa certification, proficiency in Scala, and prior experience with Quantexa tool. Must have a comprehensive understanding of Apache Spark architecture.
Join ROLLER as a Data Specialist on our Payments team to drive impactful business decisions through data analysis, dashboard development, insight generation, pricing projects, and cross-functional collaboration. Use your expertise in data analysis tools like Excel, SQL, Tableau, Looker, and BigQuery to provide actionable recommendations and support the data-driven culture at ROLLER.
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.
Support the Partner and Managing Consultant in growing the Consulting Department, develop client portfolio, monitor commercial pipeline, build proposals, support in defining HR needs, deliver high-quality projects, pursue professional development, and undertake ad hoc assignments.
Engage in data preparation and model training, stay updated on NLP and CV trends, develop algorithms, collaborate with engineering teams, and develop APIs to enhance product functionality in a cutting-edge AI environment.
Responsible for creating and maintaining SAP master data, collaborating with various teams for process improvements, ensuring cGMP compliance, and gaining experience in SAP modules and business processes.
The Cubist Data Analyst will be responsible for identifying data sources, coordinating with compliance and legal teams, assisting with data collection and maintenance, monitoring data infrastructure, and handling user requests and questions about data.
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