全职 Associate Data Scientist 工作, 薪水, NielsenIQ WP Kuala Lumpur 公司招聘中 - Ricebowl

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.   

• Support Internal and External Clients with the understanding of Data Science design and methodology.  

• Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions.  

• Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.  

• Understand Nielsen products and services to suggest innovative solutions for client challenges.  

• Collaborate with other Data Science team units.  

•  Automate and develop solutions for existing processes.  

•  Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 

About you  

You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next.  

Qualifications 

• Mandarin fluency is a must

• Professionals with degrees (either Bachelor/Master) in Math's, Data Science, Statistics, or related fields involving statistical analysis of large data sets.  

• 1 year of experience in market research or relevant fields, however, open for fresh graduate.   

• Intermediate levels proficiency with Python 

• Implementation experiences on automation of processes 

• Basic knowledge with data visualization tools (e.g., PowerBi) and mapping tools. 

• Problem-Solving skills  

• Ability to effectively convey complex concepts to non-experts  

• Intellectual curiosity and persistence to find answers to questions  

• Eager to continuously learn and adapt to changing technologies and tools.  

• Good command of written and spoken English.  

• Good collaborative and interpersonal skills to communicate at all levels.  

• Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI)