Senior Data Scientist

1 week ago


Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$6,000 - S$10,000 / Monthly

**Job Type**

**Seniority**

Senior

**Years of Experience**
At least 3 years

**Tech Stacks**
R Combine Python

**About Castlery**

Castlery creates furniture that opens everyones’ eyes to the spaces they already have - and the life that’s yet to be lived in them. By working directly with designers and manufacturers, we bring iconic high-end furniture to our customers without high street price tag.

As an e-commerce and retail startup, we move decisively based on good data and leverage on technological solutions to supercharge our operations. We combine our individual passions and skills to create innovative work that’s as exciting and unconventional as the business itself.

**What You’ll Be Doing**
- Build end-to-end data science products for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
- Conduct thorough experiment design, data analysis and model validation to ensure the accuracy and reliability of predictions and recommendations.
- Communicate complex data science concepts and the results of analyses in a clear and effective manner to stakeholders at all levels; coach data practitioners in the company.

**What You’ll Need**
- University degree in Mathematics/ Statistics, Computer Science/ Engineering, Data Science or other equivalent degrees with outstanding record of academic achievement.
- Minimum 3 years of relevant experience as a Data Scientist
- Strong programming skills in Python/ R, with hands-on experience in statistical analysis, machine learning modelling and model deployment.
- Deep understanding of various machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, and their appropriate uses.
- Entrepreneurial spirit to develop innovative solutions from scratch.
- Ability to deliver complex ideas effectively, both verbally and in writing, in English.

**The Perks**
- Awesome co-workers
- International business and operations exposure
- A dynamic environment that offers a wealth of learning opportunities and room to make an impact in the business
- Remuneration: Negotiable
- Location: Based in Singapore



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