Sydney, Australia · Data Scientist
Data Scientist
About the client :
We are a social commerce platform for the trade of luxury items and collectables, it is a sophisticated network built on cutting-edge technology that gives you access to an entire luxury ecosystem luxury is more than a price tag, it is about an entire experience. When we choose to exchange pre-loved luxury items we become creators by passing on our story and legacy.
Our innovative approach to tech enables a premium customer experience providing transparency & traceability of each trade enhancing the security and trust.
Summary Description :
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
Responsibilities & Deliverables :
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Doing ad-hoc analysis and presenting results in a clear manner.
- Creating automated anomaly detection systems and constant tracking of its performance.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences.
Required Skills TechStack:
- Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. familiarity with Scala, Java, or C++ is a good to have skill.
- Experience in data mining.
- Good analytical skills to find the most optimum solutions for upcoming challenges.
Location Preferences :
- Open to any location with 3-4 hours of overlap
Expected Commitment
- Open to both full-time or Part-time.
Estimated Length
- 2-3 months
Language Preferences:
English
