Data Scientist (SH)
Shanghai, China /
Operations – Risk & Data /
Full-time Employee
/ Hybrid
Join the leading Crypto Brand in the Philippines!
Who we are
We are one of the earliest and largest crypto platforms in Southeast Asia offering exchange and wallet services to our users. Our product lineup also includes electronic payment service and e-wallet. Through our wallet, users can send money to anyone, pay for bills, shop online at over 100,000 merchants, receive money transfers from 200+ countries even without a bank account, and of course view and purchase cryptocurrencies.
WHAT YOU WILL DO
- End-to-end delivery of data driven product incubation, working with Product Management to gather and prepare data/features, to analyze data with programming/statistical languages (e.g. R, Python) and generate insights, to choose and deploy Machine Learning models, solving for the business opportunities identified.
- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Process, cleanse, and verify the integrity of data used for analysis.
- Data mine for important information and insights and present results in a clear manner and conciseSolve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
- Build and prototype analysis pipelines iteratively to provide insights at scale.
- Select features, build and optimize classifiers with machine learning techniques.
- Develop comprehensive knowledge of Coins data structures and metrics, advocating for changes where needed for product development.
- Understands development and quality standards and ensures strict adherence to themWrite model documentation clearly and concisely and support findings with reasonable foundations.
- Sharing best practices and case studies, helping to lift the overall literacy.
- Develop collaborations with product management and engineering team.
REQUIRED SKILLS AND EXPERIENCE
- Degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
- 3-5 years of experience in the analytics or related fieldStrong expertise and hands-on experience in statistical analysis and modeling, machine learning models, data visualization.
- Demonstrated experience in working with large, complex data sets.
- Fluent in SQL, R, and PythonFamiliarity with BI Tools such as Qlik, Tableau and Metabase.
- Intermediate knowledge of big data technologies such as (Kafka/Flink/Spark etc).
- Demonstrated leadership and self-direction.
- Willingness to teach others and learn new techniques.
- Experience with agile development methodology.
- Effective written and verbal communication skills.
GOOD TO HAVE
- Advanced degree in a quantitative discipline.
- Team leading experience, with a focus on building and leading (small) teams of data scientists.
- Specialized knowledge in time series analysis, deep learning, NLP, and graph analytics.
- Experience in deploying machine learning model as cloud native application or container application.
- Demonstrated expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
