Data Scientist - AI Modelling & Business Insights
Job Summary
Job Description
The Data Scientist will pioneer the development of advanced algorithms and predictive models to forecast market trends and optimize product performance, contributing to the in-house AI model development. This role involves uncovering hidden opportunities within vast datasets by analyzing structured and unstructured information, visualizing key findings, and translating insights into strategic new business models. The individual will also be responsible for ensuring the health and efficiency of the data ecosystem through diligent maintenance of analytics data models and management of valuable data assets. Furthermore, they will empower stakeholders with clarity by developing impactful analytics reports and intuitive visualization dashboards that monitor business performance.
Must have:
- Bachelor's or advanced degree in Computer Science, Data Science, IT, or related quantitative field.
- Experience with modern analytical methodologies.
- Strong command of Python for data analysis.
- Proficiency in data visualization tools like Tableau.
- Knowledge of MongoDB and SQL.
- Solid problem-solving skills with attention to detail.
- Excellent communication and presentation skills.
- Strong command of written and spoken English or Cantonese.
Good to have:
- Proficiency in Mandarin.
Perks:
- Drive a new movement of introducing innovative casks and private bottles trading methods
- Open environment with project ownership and autonomy
- Vibrant and casual team environment
10 skills required
Job Details
This Job Post is created on behalf of our client Courser of Woodland (CoW)
Are you ready to be part of an exciting initiative to shake up the traditional Whisky industry?
CoW is on a mission to reimagine cask ownership opportunities. With a strong distillery partnership network, CoW’s service goes beyond cask trading and consultation, but also hosts educational sessions, private events and other public appearances.
As a data scientist, you will be a key asset to take up a pivotal role in the company’s new AI project with actively involvement in ongoing research and experiments.
What You Will Do
- Pioneer the development of advanced algorithms and predictive models to forecast market trends and optimize product performance, contributing to the in-house AI model development.
- Uncover hidden opportunities within vast datasets by analyzing structured and unstructured information, visualizing key findings, and translating insights into strategic new business models.
- Ensure the health and efficiency of the data ecosystem through diligent maintenance of analytics data models and management of valuable data assets.
- Empower stakeholders with clarity by developing impactful analytics reports and intuitive visualization dashboards that monitor business performance and deliver crucial insights.
What You Will Bring
- Educational background: Bachelor's degree or advanced qualification in Computer Science, Data Science, Information Technology, or a closely related discipline that emphasizes quantitative analysis.
- Analytical toolkit: Experience applying modern analytical methodologies and a strong command of programming languages (ideally Python) used for data analysis.
- Visualization experience: Comfortable utilizing data visualization and reporting tools such as Tableau to convey complex insights.
- Database proficiency: Demonstrated knowledge of MongoDB and SQL for data manipulation and retrieval.
- Analytical mindset: Solid problem-solving skills with a commitment to accuracy and detail.
- Interpersonal skills: Outstanding communication and presentation skills to articulate findings clearly to diverse audiences.
- Language skills: Strong command of written and spoken English or Cantonese. Proficiency in Mandarin is considered an asset.
Why You'll Love Working at CoW
- Drive a new movement of introducing innovative casks and private bottles trading methods
- An open environment where you can take project ownership with autonomy
- Vibrant and casual team environment
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