Top Data Jobs in Singapore

The Data Engineer will design, implement, and maintain ETL processes, manage data mapping documentation, collaborate with stakeholders to meet data requirements, conduct data quality checks, optimize workflows, and troubleshoot issues. They will also stay updated on best practices in data engineering.

As a Data Engineer, you will design and implement data solutions focusing on developing ETL processes, conducting data mapping, optimizing performance, and ensuring data quality. Your role involves collaboration with stakeholders and documenting processes for future reference.

As a Data Engineer, you will design and optimize big data solutions using Apache Spark, Scala, and Elasticsearch. Responsibilities include developing data processing pipelines, integrating Elasticsearch, troubleshooting issues, and ensuring data quality. You will also collaborate with DevOps teams and implement CI/CD pipelines on OpenShift.

The Data Engineer will design, develop, and implement Spark Scala applications and data processing pipelines for structured and unstructured data. They will integrate Elasticsearch for efficient data handling, optimize Spark jobs for performance, and collaborate with teams to translate requirements into solutions while maintaining data quality and addressing performance issues.

The Data Engineer is responsible for building and optimizing big data pipelines, performing root cause analysis, supporting data modeling and implementation activities, and processing large unstructured datasets. The role includes CI/CD activities and working with various cloud platforms.

The Data Engineer will design, develop, and implement Spark Scala applications and data processing pipelines, integrating Elasticsearch for data indexing and retrieval. Responsibilities include optimizing Spark jobs for performance, collaborating with stakeholders, implementing data transformations, and resolving performance issues.

As a Data Engineer, you will design, implement, and optimize data pipelines and workflows, ensuring scalable and reliable data infrastructure. Responsibilities include developing ETL processes, monitoring data quality, optimizing performance, and collaborating with stakeholders for data requirements.

The Technical Manager (Data Science) role requires overseeing the data science team to apply machine learning algorithms for digital advertising tasks, collaborating with teams for product development, guiding junior members, and managing product roadmaps and KPIs. Strong leadership and programming skills in languages like Python and Java are essential, along with expertise in machine learning techniques and cloud deployment.

The Senior Data Scientist will join a new Data Science team to conduct research in the crypto market and blockchain. Responsibilities include sourcing data, developing visualization tools, applying statistical and ML techniques, benchmarking models, and tracking performance metrics. The role requires strong experience in data science and leadership.

As a Senior Data Analyst at Kape, you will lead complex projects by transforming data into actionable insights, influence business decisions across various departments, and collaborate with cross-functional teams to enhance data-driven strategies. You will design user-friendly dashboards and ensure alignment with data standards, driving a culture of data utilization for informed decision making.

The Senior Operations Data Analyst will influence business decisions through data analysis, leading complex projects to transform data into actionable insights. Responsibilities include collaborating with cross-functional teams, delivering impactful visualizations, and setting standards for data quality and consistency.

The Senior Data Analyst will support strategic business initiatives through data analysis and develop metrics and dashboards. This role involves working with cross-functional teams, delivering impactful insights, designing A/B tests, and improving data-driven decision-making within the organization.

As a Data Engineering Manager, you will lead a team of data engineers and analytics engineers, guiding them in building and maintaining a cloud-native data platform. You will architect solutions for ingesting, anonymizing, and enriching data, while also managing performance reviews and mentoring your team. Your role includes liaising with internal customers to translate needs into technical requirements and mitigating risks.

As a Senior Data Scientist at GoTo Financial, you will lead the development of AI models in deep learning focused on computer vision and other fields. Your role involves enhancing systems, deploying models, and driving innovation to meet business challenges. You will also handle communication between technical and business teams to implement solutions effectively.

Work as a Senior Data Scientist at Gojek Marketplace in Singapore. Responsibilities include formulating technical problems, building and deploying data science solutions, analyzing data, and conducting experiments to measure the impact of ML solutions. Bachelor's/Master's Degree in Computer Science, Statistics, or related field with 3-5 years of experience is required. Bonus points for experience in Machine Learning Engineering, cloud platforms, software engineering workflow, and dbt.

The Data Scientist will join the global analytics team, focusing on data import and analysis related to disability, mortality, and longevity. Responsibilities include developing predictive models, providing consultative insights, conducting research, and delivering presentations to internal and external clients.

As a Sr. Data Scientist at Pinterest, you'll enhance advertising performance by conducting strategic analyses, guiding experimentation, creating success metrics, and leading a team to ensure data-driven decision making while collaborating with cross-functional teams.