Our client, a fast-growing FinTech Startup backed by global enterprise, is looking to expand their Data Scientist team to provide a true automation technology platform in the region. Perm position and international culture.
– Develop custom data models and algorithms to apply to data sets.
– Aim to enhance the performance/precision of the existing models
– Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
– Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems.
– Bachelor / Master / Ph.D. in a quantitative discipline (Computer Science, Statistics, Actuarial Science, Mathematics, Operations Research etc.)
– At least 5 years of Data Analytics / Data Scientist experience.
– Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages to manipulate data and draw insights from large data sets.
– Experience in developing statistical models and machine learning algorithms.
– Experience with Big Data Technologies is a big plus.
– Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc. is preferred,
– Experience in database design and SQL.
– Excellent communication skills in English.
– Bachelor’s degree from a reputable University
Headquartered in Hong Kong, Pinpoint Asia is the go-to Specialist Firm for Technology Recruitment
We are a team of specialist tech recruiters (many of our recruiters come from an IT background) and we serve a wide range of clients, all the way from tech startups (especially FinTech) to some of the top Financial Institutions on Wall Street and several other large-scale enterprises in other industries.
Our significant market reputation and status as the leading search firm for many of our clients is a direct result of our strong industry relationships, intimate understanding of the marketplace and proven ability to deliver results.
Our vision is to help companies hire smarter and help job seekers get closer to their career aspirations.
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