台北市松山區經歷不拘大學待遇面議
As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.
Responsibilities
- 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.
- Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
- Work on creating new 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 new 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
Qualifications
About you
You've dabbled in data. You've perused Python. And you have the communication chops to translate it all into conversation or presentations. While you've 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's happening in big data and you're ready to influence what's next.
Qualifications
- Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
- 2-3 years of experience in market research or relevant fields, however, open for fresh graduates.
- Intermediate levels proficiency with Python
- Implementation experiences on automation of processes
- 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 Mandarin & 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)
Good to Have
- Knowledge of Machine Learning /Web scrapping
- Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools.
- Up to date with technology and active user of eCommerce platforms
- Familiarity with Atlassian, Git, Bitbucket and Confluence
- Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.