Top Data Jobs in Singapore
As a Senior Data Scientist in Growth Analytics at Moloco, you will provide data products and insights to help customers improve campaign performance with machine learning models. Responsibilities include data analysis, validation, campaign optimization, and business collaboration.
Lead the team of Privacy Operations Analysts, manage team performance, development, and budget, support the implementation of the global Privacy Governance Framework, conduct risk assessments, deliver Data Subject Access Requests, provide SME support to stakeholders, and collaborate effectively with Privacy Legal and the Office of Compliance at Cencora.
At Cencora, the Analyst - Data Risk & Privacy Operations will support the implementation of the global Privacy Governance Framework, conduct risk assessments, handle day-to-day privacy operations, deliver Data Subject Access Requests, and provide SME support to stakeholders. Requires a minimum of six years of related experience, CIPP qualification, One Trust Certification, and knowledge of GDPR and US Privacy regulations.
The Specialist, SEO & Digital Data in Asia will drive organic traffic and improve online presence through SEO strategies. Responsibilities include managing on-page and off-page SEO, analyzing website performance, developing keyword-rich content, executing link-building activities, and collaborating with various teams to optimize brand visibility and achieve commercial targets.
Collaborate with product domains, translate customer needs into technical requirements, develop data-driven solutions, oversee data science projects, and work with the brightest minds in the industry to revolutionize the travel industry through data.
Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data, Integrate Elasticsearch with Spark for efficient indexing and querying, Optimize and tune Spark jobs for performance and scalability, Collaborate with stakeholders to translate requirements into technical solutions, Implement data transformations and aggregations using Spark RDDs, DataFrames, and Datasets, Develop and maintain scalable Spark applications following best practices, Troubleshoot and resolve data processing issues in Spark-Elasticsearch integration
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
As a Data Manager dedicated to supporting the commercial teams for the Travel business, you will lead data analysis and reporting efforts, develop data strategies, design data pipelines and dashboards, conduct in-depth data analysis, and foster a data-driven culture within the commercial team.
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.
As a Product Data Analyst, you will work on developing and measuring impactful experiences for customers. Responsibilities include delivering clear analysis and reporting of metrics, creating reports and dashboards, conducting ad hoc analysis, and visualizing complex findings for non-technical audiences.
Lead Data Scientist role at Grab, responsible for building self-optimising pricing products to adjust fares based on market conditions. Involves automating model parameter tuning, collaborating with Engineering teams, and staying updated with the latest skills.
Looking for a Junior Data Analyst to manage, analyze, and clean data on a real-time basis, collaborate with team members, and perform ad-hoc data analysis primarily in Papua New Guinea for Enveritas. Responsibilities include leading data quality processes, coordinating field teams, conducting research, and supporting special projects.
The VP/Senior Big Data Solutions Lead is responsible for leading applications systems analysis and programming activities, partnering with management teams, resolving high-impact problems, and providing expertise in applications programming. They must have 10-12 years of software development experience, proficiency in Java/Scala programming with Spark, and experience with big data processing technologies and distributed computing environments.
The Senior Associate, Data Operations at Barings is responsible for ensuring the accuracy, availability, and reliability of data for internal and external clients. This role involves monitoring and optimizing data processes, resolving issues, and contributing to continuous improvement of data operations.
The Senior Data Technical Consultant position at Adobe involves building and developing Analytics & Target solutions for customers, implementing solutions, and resolving technical issues with constant customer interaction.
Lead and grow a team of data analysts to enhance data-driven decision-making across the business. Develop a team that can deliver clear business value through advice, analytics, and dashboards. Manage, hire, lead, and mentor analysts, identify skill gaps, collaborate with stakeholders, prioritize initiatives, and maintain data quality.
Looking for an experienced Data Scientist to work on varied and challenging projects across Aerospace business processes. Responsibilities include understanding business problems, data processing, experiment design, model development, and driving innovation within the organization.
Head of Data Management role in APAC region at Quantexa, responsible for driving Data Management strategy, leading product features, influencing stakeholders, and shaping the Data Fabric and AI capabilities. Opportunity to work in a diverse and innovative environment with a focus on Banking, Insurance, Telco, Government, and Healthcare sectors.
Senior Operations Data Analyst role at Kape, responsible for turning data into actionable insights, supporting various departments, and driving data-driven decision making. Requires 4+ years of experience in Data Analyst/Business Intelligence Analyst role, proficiency in SQL and visualization tools, strong analytical and communication skills, and the ability to lead complex projects.
The Data Engineering Manager will oversee and guide a team of data engineers, contribute to a cloud-native data platform, process large volumes of data, and support decision-making processes. Responsibilities also include architecture, building, and maintenance of data platforms, analytics engineering, liaising with internal customers, and risk mitigation.
Seeking a Senior Data Analyst with 3+ years of experience in data analytics, proficiency in SQL and Python, and experience in data modeling and visualization tools. Must have strong communication and problem-solving skills.
Looking for a Data Protection Compliance Manager to ensure compliance with data protection laws such as GDPR, CCPA, and CPRA. Responsibilities include monitoring compliance, developing policies, conducting audits, and managing data breach incidents. Requires LLB or JD, 2-3 years of experience, and certification in CIPP, CIPM, or EXIN.
Managing a data science team to solve engineering tasks in digital advertising and real-time bidding, collaborating with other teams to transform technologies into products, guiding junior team members, and evaluating new technologies for prototyping. Also responsible for implementing security mechanisms and sharing information related to information security incident handling.
Responsible for the application of complex statistical and technical skills towards the collection, analysis, and translation of statistical data for research projects. Conducts statistical research, compiles reports, provides lead-hand supervision, and improves process efficiency.
Design, develop, and optimize Spark Scala applications and data processing pipelines integrated with Elasticsearch. Collaborate with stakeholders, troubleshoot issues, and stay updated on big data technologies trends.
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