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Jobs that require statistical analysis skill

SINGAPORE CLINICAL RESEARCH INSTITUTE PTE. LTD.
15Jan
Biostatistician
SINGAPORE CLINICAL RESEARCH INSTITUTE PTE. LTD.   via JobsCentral



Roles & Responsibilities

We are in the process of expanding our Biostatistics team, and looking for a Biostatistician preferably with a PhD degree and previous experience in clinical research. Candidates with substantial experience will be considered for a Senior Biostatistician position. Candidate with strong methodological background and expertise in clinical study designs, grant proposal writing, advanced applied statistical analysis & modelling and manuscript writing is preferred.

Provide statistical support for    Read more

clinical studies, including study design, sample size estimation, patient randomization, statistical analyses (using SAS), and interpretation of data and reporting of results.

Provide statistical inputs for grant proposal, manuscript and clinical study report writing

Provide research consultation and mentoring to clinical researchers

Provide training and preparing educational material on topics related to clinical research

Requirements

Master or PhD degree in (bio)statistics

Competency in applying statistical thinking to solve problems in clinical research

Competency in communicating statistics in English to non-statisticians and appreciating the perspectives of non-statisticians

Ability to work effectively in a multi-disciplinary team environment

Strong methodological background in applied statistics and modeling with publication track record (preferred)

Skills
Nanyang Technological University
15Jan
Research Fellow
Nanyang Technological University   via JobsCentral



Roles & Responsibilities

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems was jointly established by the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) and Delta Electronics.

The Corp Lab aims to create business value through collaborative commercialization of translational research and industrial development.Successful candidates will conduct research and development work related to Smart Manufacturing. The candidates are expected to contribute in effort targets pave new solution    Read more

business in Smart Manufacturing in the Asia Pacific Region.

Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.

Delta Electronics was founded in 1971 and is a global leader in Power Electronics, Energy Management and Smart Green Life, with over 50 R&D sites globally and more than 5,000 R&D engineers.

Responsible for conducting research in the smart commercialization field to realize a methodology and prototype of user-centric, stakeholder-oriented design system that supports the design and development of innovative solutions based on multicultural stakeholder/customer/user requirements. The research comprises the following tasks:

Identify the needs of a user-centric, stakeholder-oriented design system

Develop methodologies for user-centric, stakeholder-oriented solution generation

Define the system specification for realizing a prototype system

System analysis, integration, testing and refinement

Verification on the fields of smart learning, smart manufacturing and smart living.

Application Procedure:

Interested candidates please send your CV/resume to:

Prof Chen Chun-Hsien

School of Mechanical and Aerospace Engineering

Nanyang Technological University

50 Nanyang Avenue

Block N3.2

Singapore 639798

E-mail Address for E-mailed Applications: [Click Here to Email Your Resume]

Electronic submission of application is highly encouraged.

Only shortlisted candidates will be notified for interview.

Requirements

PhD degree in Industrial/Systems/Mechanical/Computer Engineering, Industrial Design, Computer Sciences, Management Information Systems, Service Science, Technology Management or related fields with knowledge/experience in service innovation, industrial management, computer programming, management information systems, simulation and modelling, and statistical analysis

Skills
MOBILEWALLA PTE. LTD.
15Jan
Software Development Engineer
MOBILEWALLA PTE. LTD.   via JobsCentral



Roles & Responsibilities

Background

Mobilewalla is a VC funded big data company that has created the largest consumer audience platform on mobile. This platform is fast becoming the go-to asset for global marketers seeking to execute data-driven marketing campaigns. Our engineers solve complex problems such as semantic data compression, statistical modeling of anomalous mobile data, real time analytics and high throughput, low latency transaction systems. We are looking for an    Read more

engineer to join this team and help grow the platform.

Responsibilities

You will work closely with your fellow engineers to develop large scale systems that process and act on massive amounts of data both in real time and offline.

Specific responsibilities include:

• Participate in the entire application lifecycle (defining requirements, designing, coding, debugging and production maintenance)

• Write clean, performant code to develop functional applications; build reusable code and libraries • Deploy and take ownership of production environments

• Learn new frameworks, technologies and approaches to help solve complex data problems

• Work with fellow engineers and platform architects to define technical solutions Qualifications

Requirements

• Programming experience in either Java or Scala

• Pursuing or having received Bachelor’s or Master’s degree in Computer Science

• At least 2 years of experience in developing software

• Experience or interest in distributed (multi-tiered) systems, relational databases and noSql storage solutions

• Collaborative and personable engineer who likes working with a team Preferred Qualifications

• Enthusiasm for data analytics and big data toolset (Spark, Hive, Pig, Hadoop)

• Work well with ambiguous/undefined problems; ability to think abstractly

• Experience with AWS

Only shortlisted candidates will be notified.

Skills
DBS Bank Ltd.
15Jan
Snr Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills
Nanyang Technological University
15Jan
Senior Research Engineer
Nanyang Technological University   via JobsCentral



Roles & Responsibilities

Project description:

“Cross-functional New Product/Technology Introduction (NPI/NTI) Program” that focusses on the Research, Development, Deployment & Commercialization of the Next-gen Distribution Grid Management tools.

Job scope:

Design and develop deep learning-AI powered DER analytics & renewable energy/load forecasting tools to enhance distribution grid operations

Interval forecasting of renewable power sources & demand forecasting tools suited to small geographical areas (e.g., at the level of customers or aggregation areas) to capture    Read more

the uncertainty for adequately addressing the requirements of robust/stochastic optimization formulations

Be an hands-on technologist / domain / industry expert in commercial solution development, system integration & implementation

Work closely with researchers, developers, partners and/or external vendors for timely project delivery

Any other ad-hoc duty or responsibility eg. project presentation, progress report preparation and procurement of goods and services etc. assigned by the supervisor

Requirements

Academic qualifications:

Bachelor or Master Degree in Electrical or Computer Engineering. Specialized in Power Systems / Renewable Energy Management / Artificial Intelligence / Machine Learning / Applied Mathematics

Solid knowledge & Strong expertise:

Artificial intelligence/deep reinforcement learning based analytics & forecasting for distribution grid operations and energy management

Markov Decision Processes, Monte Carlo Tree Search, policy gradients, actor-critic methods, model-based acceleration, deep learning (neural networks) and reinforcement learning

Proven skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.

Strong knowledge in Statistics, e.g., descriptive, supervised and unsupervised analysis

Proficiency:

R, Python and other statistical languages in view of the abovementioned analytical concepts and techniques

Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, Pandas, Numpy, TensorFlow and Spark, etc.

Experience with Big Data technologies such as Hadoop, Cassandra etc

Added advantage:

Good knowledge of smart meter data analytics and statistical analysis

Mathematical programming languages (e.g., AMPL/GAMS)

Familiarity with CPU/GPU architectures and numeric libraries & Hands-on experience in distributed training of deep architectures: multi-GPU, multi-node, synchronous and asynchronous

Experience in R&D cross-functional New Product/Technology Introduction (NPI/NTI) programs & commercial solution development

Other requirements:

Ability to turn high-level features/requirements into detailed technical specifications that can be used by FW/SW developers

Excellent written and verbal communication skills (English)

An effective team player with good communication & interpersonal skills

An effective & efficient team player with good attitude & interpersonal skills

Interested applicants please send your CVs directly to Prasanna at [Click Here to Email Your Resume]

Skills
Meds Technologies Pte Ltd
15Jan
Quality System Senior Engineer/Manager
Meds Technologies Pte Ltd   via JobsCentral



Roles & Responsibilities

Support the maintenance and improvement of the Quality Management System (QMS) of Synesys group of companies, developing procedures and processes with relevant process owners to support the QMS development. Lead and undertake audits across all areas of the business as well as across the supply chain. Provide training and champion the Quality Management System.

Requirements

Oversee effective implementation of the Quality Management System throughout the company, including any    Read more

business accreditations

Maintain the Quality Policies, Process Documentations and Work Instructions and ensure their contents are appropriate for business

Set up quality system and processes for new business start-up, entity or location.

Organize and conduct internal audit to ensure compliance of processes and procedures to relevant documentation

Host external Quality System and customer audits and perform external audit of vendor’s operations

Provide training on Quality issues and business processes

Coordinate and drive the review of Quality procedures associated with the company’s continuous improvement initiatives

Monitor and report Key Performance Indicators (KPIs) to ensure adherence to process and prevent occurrence of any non-conformity relating to product, process or system

Promote the use of customer’s preferred techniques for continuous improvement such as FMEA, Poka-Yoke (Error Proofing), and Statistical Analysis

Lead and participate in special projects as required to improve the Quality Management System

Perform root cause analysis and resolve problems effectively, working with relevant stakeholders

Other Attributes

Minimum 3 years of working experience, preferably in the role of quality engineering or business process management

Experience in manufacturing environment is desirable

Good working knowledge of ISO 9001:2015 quality management system requirements

Assertive, resilient and welcomes change

Engages interest and participation of others and has a collaborative approach to working with others

Systematic, proactive and meticulous in work approach

Skills
ENCORA TECHNOLOGIES PTE. LTD.
15Jan
Software Engineer
ENCORA TECHNOLOGIES PTE. LTD.   via JobsCentral



Roles & Responsibilities

3-6 months renewable contract through Encora

Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.

Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Kinesis, Redshift/Spectrum and Athena

Supporting existing ETL/ELT infrastructure    Read more

built on Pentaho, Python, EMR

Continual research of the latest big data, elasticsearch technologies to provide new capabilities and increase efficiency

Working closely with team members to drive real-time model implementations for monitoring and alerting of systems.

Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning

Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Requirements

+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets

Demonstrated strength in data modeling, ETL development, and data warehousing

Experience in programming in Python

Experience using big data technologies (think Hadoop, Hive, Hbase, Spark etc.)

Experience using business intelligence reporting tools (Tableau, Cognos etc.)

Knowledge of data management fundamentals and data storage principles

Knowledge of distributed systems as it pertains to data storage and computing

Skills
Marina Bay Sands Pte Ltd
15Jan
Manager, Hotel Analytics
Marina Bay Sands Pte Ltd   via JobsCentral


JOB SCOPE

Partner with other Hotel Analysts and the Operational Analysis team to provide information and insights to make timely decisions, benchmark, and improve service, efficiency effectiveness, and the work environment.

Work directly with senior operational leaders to develop relevant key metrics, scorecards and process and so as to drive initiatives that increase and optimize business performance across the various units in Hotel, Food and Beverage, and    Read more

related operations

Serve as mentor and coach to junior resources

Apply analytical skills to explore complex datasets to aid in knowledge discovery and predictive modeling activities

Required to work on projects dealing with financial and business assessments of potential strategic initiatives, process improvements, and other ad hoc projects.

Establish close partnership with all stakeholders, to intimately understand their operations and needs through close observation, and assess how to develop relevant reports/analysis.

Partner with stakeholders to increase their performance as it relates to strengthening brand, improving financial performance, driving staff engagement, and providing outstanding service.

Develop and maintain automated BI dashboards and demand forecasting models for different business units.

Maintain knowledge of emerging trends related to analytics, statistical computing/machine learning, business intelligence and data visualization.

JOB REQUIREMENTS

Bachelors or Master’s degree in Analytics or Engineering with depth of knowledge in data-intensive roles

Experience in senior analyst / manager position or the equivalent.

Proven experience in business planning, analytics, or supply chain management and across multiple lines of business and locations.

Preferably possess relevant certification or experience in process improvement, Lean or Six Sigma.

Preferably comfortable with Statistics and Probability models, working experience in big data analysis.

Strong written and verbal communication and interpersonal skills.

Strong working knowledge with MS Excel, Excel VBA and PowerPoint, experience in any programming language, simulation software, and data analytics software is highly desired.

Proficiency in R or Python, able to develop end-to-end dashboards from backend database setup using SQL to frontend UI rending using Spotfire/Tableau.

Experience with analytical frameworks and languages such as SPARK, Tensorflow and Keras.

Familiar with mainstream statistical modelling and machine learning concepts and techniques, experience in deploying forecasting models in production preferred.

Able to work in a fast-paced environment.

Must be able to manage multiple priorities in an efficient/timely manner.

Skills
DBS Bank Ltd.
15Jan
Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills
DBS Bank Ltd.
15Jan
Avp, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)
DBS Bank Ltd.   via JobsCentral



Roles & Responsibilities

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage.    Read more

Our financial solutions are not only the best in the business – they were made just right for you.

About this role

The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.

Responsibilities

Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc.

Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.

Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region

Help the team with methodology and guidance in the areas of experiment design and data analysis.

Requirements

Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.

6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results

At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.

Good understanding of technology tools especially those related to analytics, data & statistical modelling.

Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.

Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc..

Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful.

Ability to communicate complex analysis/models across a diverse team.

Good written and oral communication skills

Skills