Thank you for subscribing to your personalised job alerts.

6 jobs found for Data scientist in Singapore

filter5
clear all
    • permanent
    • S$80,000 - S$110,000 per year
    • full-time
    About the roleYou will have hands-on experience with leveraging data from a wide selection of data sources from different technologies e.g. SQL db, BigQuery, etc., and a keen understanding of data models and ETL processes. Using tools like R, Python, and any visualisation tools (when required), you are able to analyse, model, and visualise data effectively. Ideally you will have an MSc or PhD in a relevant field (e.g. Statistics, Mathematics) or similar hands-on experience.You will build predictive models using a myriad of dataYou will apply logical thinking and statistical learning techniques to obtain robust results the business can rely on for critical decisions.You will help respond to complex business questions beyond what business intelligence teams are capable of today.You will engage with the business and data product managers to shape and refine their questions.You will team up with Data Engineers and Data Product Managers to get advice and support on accessing data. skills and experience requiredA degree in Statistics/ML/Business Analytics or a science / engineering degree with a keen interest in statistics.PhDs are valued, but innovation and excellence is essentialStrong understanding of statistical modelling. Working experience of using advanced machine learning techniques to solve business challenges.Strong R/Python skills with a focus on statistical and ML packages; e.g. Scikit-Learn, Tensorflow, Keras, PyTorch, XGBoost, NumPy, SciPy.Working experience with cloud-based platforms. Comfortable querying modern cloud databases (e.g. BigQuery, Snowflake, Redshift).Successful use of software engineering best practices, including version control (Git, Mercurial), unit testing and working with Agile delivery principles.Proven track-record of using a rigorous, scientific approach to model building, testing and validation.Experience in data cleansing and blending (internally and externally) to drive richer insights. Desirable:Knowledge of how to build enterprise data science products in cloud environmentsDocker and Kubernetes experienceExperience productionising data science models that deliver demonstrable business valueExposure to ML Ops practices and thinkingFamiliar with Linux/Unix and shell scripting, experience in cloud computing is a plusData visualization and app development techniques (Shiny, Dash, App Engine) To apply online please use the 'apply' function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253).
    About the roleYou will have hands-on experience with leveraging data from a wide selection of data sources from different technologies e.g. SQL db, BigQuery, etc., and a keen understanding of data models and ETL processes. Using tools like R, Python, and any visualisation tools (when required), you are able to analyse, model, and visualise data effectively. Ideally you will have an MSc or PhD in a relevant field (e.g. Statistics, Mathematics) or similar hands-on experience.You will build predictive models using a myriad of dataYou will apply logical thinking and statistical learning techniques to obtain robust results the business can rely on for critical decisions.You will help respond to complex business questions beyond what business intelligence teams are capable of today.You will engage with the business and data product managers to shape and refine their questions.You will team up with Data Engineers and Data Product Managers to get advice and support on accessing data. skills and experience requiredA degree in Statistics/ML/Business Analytics or a science / engineering degree with a keen interest in statistics.PhDs are valued, but innovation and excellence is essentialStrong understanding of statistical modelling. Working experience of using advanced machine learning techniques to solve business challenges.Strong R/Python skills with a focus on statistical and ML packages; e.g. Scikit-Learn, Tensorflow, Keras, PyTorch, XGBoost, NumPy, SciPy.Working experience with cloud-based platforms. Comfortable querying modern cloud databases (e.g. BigQuery, Snowflake, Redshift).Successful use of software engineering best practices, including version control (Git, Mercurial), unit testing and working with Agile delivery principles.Proven track-record of using a rigorous, scientific approach to model building, testing and validation.Experience in data cleansing and blending (internally and externally) to drive richer insights. Desirable:Knowledge of how to build enterprise data science products in cloud environmentsDocker and Kubernetes experienceExperience productionising data science models that deliver demonstrable business valueExposure to ML Ops practices and thinkingFamiliar with Linux/Unix and shell scripting, experience in cloud computing is a plusData visualization and app development techniques (Shiny, Dash, App Engine) To apply online please use the 'apply' function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253).
    • permanent
    • full-time
    about the company Would you like to have an opportunity to be part of an organization who is a market leader in what they do? My client is an award winning company with its innovations and products. If you would like to contribute to the business by attracting tech talents to further scale the company's capabilities, come and embark on this exciting journey as a Senior TA Partner. about the job As a Senior TA Partner, you will be a trusted specialist to the hiring managers in providing effective recruitment strategies through a collaborative partnership. This starts from working out detailed job requirements, going through an end-to-end recruitment cycle. You will be required to track recruitment metrics to measure recruitment efficiency through statistics.You should understand business needs, identify opportunities for recruitment process efficiency, and ensure process improvements.As the company values early talent development, you will be involved in TA programs such as Campus Recruitment, Employer Branding initiatives and other relevant recruitment drives. skills and experience You must come with minimally 5 years of technology recruitment experience, preferably with a strong understanding in the following recruitment domains - Cyber Security, IT Architecture, Data Scientist, Network Engineer and other IT application roles. You should come with excellent stakeholder management, strong multi-tasking ability and good time management. You should have a 'can-do' attitude, enjoy working in a fast paced environment and be able to handle volume requirements. Sze Ming Ong (EA: 94C3609/ R1984689)
    about the company Would you like to have an opportunity to be part of an organization who is a market leader in what they do? My client is an award winning company with its innovations and products. If you would like to contribute to the business by attracting tech talents to further scale the company's capabilities, come and embark on this exciting journey as a Senior TA Partner. about the job As a Senior TA Partner, you will be a trusted specialist to the hiring managers in providing effective recruitment strategies through a collaborative partnership. This starts from working out detailed job requirements, going through an end-to-end recruitment cycle. You will be required to track recruitment metrics to measure recruitment efficiency through statistics.You should understand business needs, identify opportunities for recruitment process efficiency, and ensure process improvements.As the company values early talent development, you will be involved in TA programs such as Campus Recruitment, Employer Branding initiatives and other relevant recruitment drives. skills and experience You must come with minimally 5 years of technology recruitment experience, preferably with a strong understanding in the following recruitment domains - Cyber Security, IT Architecture, Data Scientist, Network Engineer and other IT application roles. You should come with excellent stakeholder management, strong multi-tasking ability and good time management. You should have a 'can-do' attitude, enjoy working in a fast paced environment and be able to handle volume requirements. Sze Ming Ong (EA: 94C3609/ R1984689)
    • permanent
    • full-time
    Engagement with senior business stakeholdersExposure to various data analytics toolsAbout the company. Our Client is one of the most established companies within their industry. They have a well-established presence of more than 20 years with a global footprint of more than 10 countries. With aggressive plan in investing in IT, they are now looking hire their first Data practitioner - Data Scientist (Machine Learning, Predictive analytics, Python) here in Singapore (regional headquarters). About the job Your role involves: Working across multiple datasets, analyzing data and building models/algorithms to provide strategic insights to the business.Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisionsStreamlining the process of data flow and data quality to improve data accuracy and report & dashboard performanceIdentifying, designing and implementing internal process improvements. This includes understanding key business process to define KPI (key performance indicator) and automating reports and dashboardsSkills and experience required As a successful applicant, you will have at least 5 years of experience in SQL, Python or R. Candidates with exposure to senior business stakeholder management is required for this role. Exposure to Python scikit-learn will be of added advantage. Whats on offer This is an excellent opportunity to led data transformation with a leading multinational corporation. You will get the opportunity to be exposed to multiple data analytics tools. To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/hoonteck-nologyrecruitment or 6510 3633. (EA: 94C3609/ R1219669)
    Engagement with senior business stakeholdersExposure to various data analytics toolsAbout the company. Our Client is one of the most established companies within their industry. They have a well-established presence of more than 20 years with a global footprint of more than 10 countries. With aggressive plan in investing in IT, they are now looking hire their first Data practitioner - Data Scientist (Machine Learning, Predictive analytics, Python) here in Singapore (regional headquarters). About the job Your role involves: Working across multiple datasets, analyzing data and building models/algorithms to provide strategic insights to the business.Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisionsStreamlining the process of data flow and data quality to improve data accuracy and report & dashboard performanceIdentifying, designing and implementing internal process improvements. This includes understanding key business process to define KPI (key performance indicator) and automating reports and dashboardsSkills and experience required As a successful applicant, you will have at least 5 years of experience in SQL, Python or R. Candidates with exposure to senior business stakeholder management is required for this role. Exposure to Python scikit-learn will be of added advantage. Whats on offer This is an excellent opportunity to led data transformation with a leading multinational corporation. You will get the opportunity to be exposed to multiple data analytics tools. To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/hoonteck-nologyrecruitment or 6510 3633. (EA: 94C3609/ R1219669)
    • permanent
    • full-time
    Engagement with senior business stakeholdersExposure to various data analytics toolsAbout the company. Our Client is one of the most established companies within their industry. They have a well-established presence of more than 20 years with a global footprint of more than 10 countries. With aggressive plan in investing in IT, they are now looking hire their first Data practitioner - Data Scientist (Machine Learning, Predictive analytics, Python) here in Singapore (regional headquarters). About the job Your role involves:Working across multiple datasets, analyzing data and building models/algorithms to provide strategic insights to the business.Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisionsStreamlining the process of data flow and data quality to improve data accuracy and report & dashboard performanceIdentifying, designing and implementing internal process improvements. This includes understanding key business process to define KPI (key performance indicator) and automating reports and dashboardsSkills and experience required As a successful applicant, you will have at least 5 years of experience in SQL, Python or R. Candidates with exposure to senior business stakeholder management is required for this role. Exposure to Python scikit-learn will be of added advantage. Whats on offer This is an excellent opportunity to led data transformation with a leading multinational corporation. You will get the opportunity to be exposed to multiple data analytics tools. To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/hoonteck-nologyrecruitment or 6510 3633. (EA: 94C3609/ R1219669)
    Engagement with senior business stakeholdersExposure to various data analytics toolsAbout the company. Our Client is one of the most established companies within their industry. They have a well-established presence of more than 20 years with a global footprint of more than 10 countries. With aggressive plan in investing in IT, they are now looking hire their first Data practitioner - Data Scientist (Machine Learning, Predictive analytics, Python) here in Singapore (regional headquarters). About the job Your role involves:Working across multiple datasets, analyzing data and building models/algorithms to provide strategic insights to the business.Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisionsStreamlining the process of data flow and data quality to improve data accuracy and report & dashboard performanceIdentifying, designing and implementing internal process improvements. This includes understanding key business process to define KPI (key performance indicator) and automating reports and dashboardsSkills and experience required As a successful applicant, you will have at least 5 years of experience in SQL, Python or R. Candidates with exposure to senior business stakeholder management is required for this role. Exposure to Python scikit-learn will be of added advantage. Whats on offer This is an excellent opportunity to led data transformation with a leading multinational corporation. You will get the opportunity to be exposed to multiple data analytics tools. To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/hoonteck-nologyrecruitment or 6510 3633. (EA: 94C3609/ R1219669)
    • permanent
    • full-time
    Newly created role due to business expansionConcrete project timelineAbout the company. Our Client is one of the fastest growing company in their industry. They have a well-established presence of more than 25 years with a global footprint of more than 15 countries. With rapid expansion plan, they are now looking for a new Data Engineer (SQL, SSIS and PowerBI )) to be a part of their team here in the regional headquarters. About the job Your responsibilities includes:Identifying, designing and implementing internal process improvements. This includes automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityManaging and designing infrastructure for extraction, transformation, and loading of data from a wide range of data sourcesBuilding analytics tools that utilize the data pipeline to provide insights into customer acquisition, operational efficiency and other key business performance metricsEngaging with business stakeholders, communicating priorities and establishing an analytic roadmapCreating data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leaderWorking with cross functional team to build greater functionality in the data systemsSkills and experience requireAs a successful applicant, you will have t least 3 years of experience in data visualization tools (PowerBI Tableau), ability to develop interactive dashboards or reports for various data explanatory or exploratory purposes for management and operational use cases. Exposure to SQL, SSRS, SSIS will be of added advantage.Whats on offer This is an excellent opportunity to join a leading end user environment with massive interaction with global HQ. You will have the opportunity to shape the data engineering standards for the company To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at 6510 3633. (EA: 94C3609/ R1219669)
    Newly created role due to business expansionConcrete project timelineAbout the company. Our Client is one of the fastest growing company in their industry. They have a well-established presence of more than 25 years with a global footprint of more than 15 countries. With rapid expansion plan, they are now looking for a new Data Engineer (SQL, SSIS and PowerBI )) to be a part of their team here in the regional headquarters. About the job Your responsibilities includes:Identifying, designing and implementing internal process improvements. This includes automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityManaging and designing infrastructure for extraction, transformation, and loading of data from a wide range of data sourcesBuilding analytics tools that utilize the data pipeline to provide insights into customer acquisition, operational efficiency and other key business performance metricsEngaging with business stakeholders, communicating priorities and establishing an analytic roadmapCreating data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leaderWorking with cross functional team to build greater functionality in the data systemsSkills and experience requireAs a successful applicant, you will have t least 3 years of experience in data visualization tools (PowerBI Tableau), ability to develop interactive dashboards or reports for various data explanatory or exploratory purposes for management and operational use cases. Exposure to SQL, SSRS, SSIS will be of added advantage.Whats on offer This is an excellent opportunity to join a leading end user environment with massive interaction with global HQ. You will have the opportunity to shape the data engineering standards for the company To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at 6510 3633. (EA: 94C3609/ R1219669)
    • permanent
    • full-time
    Newly created role due to business expansionConcrete project timelineAbout the company. Our Client is one of the fastest growing company in their industry. They have a well-established presence of more than 25 years with a global footprint of more than 15 countries. With rapid expansion plan, they are now looking for a new Data Engineer (SQL, SSIS and PowerBI )) to be a part of their team here in the regional headquarters. About the jobYour responsibilities include:Designing and managing large complex data for business process improvementManaging optimal data pipeline architectureIdentifying, designing and implementing internal process improvements. This includes automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityManaging and designing infrastructure for extraction, transformation, and loading of data from a wide range of data sourcesBuilding analytics tools that utilize the data pipeline to provide insights into customer acquisition, operational efficiency and other key business performance metricsEngaging with business stakeholders, communicating priorities and establishing an analytic roadmapCreating data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leaderWorking with cross functional team to build greater functionality in the data systemsSkills and experience requiredDegree in Computer Science or StatisticsAt least 5 years of experience in SQL, SSIS and ETL At least 3 years of experience in multiple or relational databasesExposure to building/designing of ‘big data’ data sets will be highly preferredAt least 3 years of experience in Atlassian Tools (Jira, Bitbucket, Confluence and etc)At least 5 years of experience in engaging with business is requiredProven track record working in the end user environment will be highly preferredExposure to Hyperion will be of added advantageWhats on offerThis is an excellent opportunity to join a leading end user environment with massive interaction with global HQ. You will have the opportunity to shape the data engineering standards for the company To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at 6510 3633. (EA: 94C3609/ R1219669)
    Newly created role due to business expansionConcrete project timelineAbout the company. Our Client is one of the fastest growing company in their industry. They have a well-established presence of more than 25 years with a global footprint of more than 15 countries. With rapid expansion plan, they are now looking for a new Data Engineer (SQL, SSIS and PowerBI )) to be a part of their team here in the regional headquarters. About the jobYour responsibilities include:Designing and managing large complex data for business process improvementManaging optimal data pipeline architectureIdentifying, designing and implementing internal process improvements. This includes automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityManaging and designing infrastructure for extraction, transformation, and loading of data from a wide range of data sourcesBuilding analytics tools that utilize the data pipeline to provide insights into customer acquisition, operational efficiency and other key business performance metricsEngaging with business stakeholders, communicating priorities and establishing an analytic roadmapCreating data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leaderWorking with cross functional team to build greater functionality in the data systemsSkills and experience requiredDegree in Computer Science or StatisticsAt least 5 years of experience in SQL, SSIS and ETL At least 3 years of experience in multiple or relational databasesExposure to building/designing of ‘big data’ data sets will be highly preferredAt least 3 years of experience in Atlassian Tools (Jira, Bitbucket, Confluence and etc)At least 5 years of experience in engaging with business is requiredProven track record working in the end user environment will be highly preferredExposure to Hyperion will be of added advantageWhats on offerThis is an excellent opportunity to join a leading end user environment with massive interaction with global HQ. You will have the opportunity to shape the data engineering standards for the company To apply online please use the 'apply' function, alternatively you may contact Hoon Teck TAN at 6510 3633. (EA: 94C3609/ R1219669)

Thank you for subscribing to your personalised job alerts.

Seo.DynamicLinkList.TitleJobsIn

It looks like you want to switch your language. This will reset your filters on your current job search.